{"title":"Data Science \u0026 Big Data","description":null,"products":[{"product_id":"microsoft-azure-data-fundamentals-training-dp-900","title":"Microsoft Azure Data Fundamentals Training (DP-900)","description":"\u003cdiv\u003e\u003cp\u003eIn this Microsoft Azure Data Fundamentals course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Topics covered in this course are found on the Microsoft role-based \u003cstrong\u003eDP-900\u003c\/strong\u003e certification exam. Students will learn about core data concepts such as relational, non-relational, big data, and analytics and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about modern data warehousing, real-time analytics, and data visualization.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eMicrosoft Azure Data Fundamentals Training (DP-900) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this Azure Data Fundamentals course, you will learn how to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDescribe core data concepts.\u003c\/li\u003e\n\u003cli\u003eIdentify considerations for relational data on Azure.\u003c\/li\u003e\n\u003cli\u003eDescribe considerations for working with non-relational data on Azure.\u003c\/li\u003e\n\u003cli\u003eDescribe an analytics workload on Azure.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAzure Data Fundamentals Prerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003ePrerequisite certification is not required before taking this course. However, successful Azure Data Fundamentals students start with essential knowledge of computing and Internet concepts and an interest in extracting insights from data.\u003c\/p\u003e\n\u003cp\u003eSpecifically:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExperience using a web browser, such as Microsoft Edge.\u003c\/li\u003e\n\u003cli\u003eFamiliarity with basic data-related concepts, such as working with data tables in a spreadsheet and visualizing data using charts.\u003c\/li\u003e\n\u003cli\u003eA willingness to learn through hands-on exploration.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDP-900 Certification Information \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThis course can help you prepare for the following Microsoft role-based certification exam — \u003ca title=\"Exam DP-900: Microsoft Azure Data Fundamentals\" target=\"_blank\" rel=\"external nofollow noopener\" href=\"https:\/\/docs.microsoft.com\/en-us\/learn\/certifications\/exams\/dp-900\"\u003e Exam DP-900: Microsoft Azure Data Fundamentals\u003c\/a\u003e.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAzure Data Fundamentals Instructor-Led Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Explore core data concepts\u003c\/h4\u003e\n\u003cp\u003eData powers the digital transformation sweeping across organizations and society in general. But what is \"data,\" and how is it represented and used?\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIn this module, you will learn how to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentify common data formats\u003c\/li\u003e\n\u003cli\u003eDescribe options for storing data in files\u003c\/li\u003e\n\u003cli\u003eDescribe options for storing data in databases\u003c\/li\u003e\n\u003cli\u003eDescribe the characteristics of transactional data processing solutions\u003c\/li\u003e\n\u003cli\u003eDescribe the characteristics of analytical data processing solutions\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Explore data roles and services\u003c\/h4\u003e\n\u003cp\u003eData professionals perform distinct roles in building and managing software solutions and work with multiple technologies and services.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIn this module, you will learn how to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentify common data professional roles\u003c\/li\u003e\n\u003cli\u003eIdentify standard cloud services used by data professionals\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Explore fundamental relational data concepts\u003c\/h4\u003e\n\u003cp\u003eRelational database systems are a common way to store and manage transactional and analytical data in organizations of any size worldwide.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIn this module, you'll learn how to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentify characteristics of relational data\u003c\/li\u003e\n\u003cli\u003eDefine normalization\u003c\/li\u003e\n\u003cli\u003eIdentify types of SQL statement\u003c\/li\u003e\n\u003cli\u003eIdentify everyday relational database objects\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Explore relational database services in Azure\u003c\/h4\u003e\n\u003cp\u003eMicrosoft Azure provides multiple services for relational databases. You can choose the best relational database management system and host relational data in the cloud.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIn this module, you'll learn how to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentify options for Azure SQL services\u003c\/li\u003e\n\u003cli\u003eIdentify options for open-source databases in Azure\u003c\/li\u003e\n\u003cli\u003eProvision a database service on Azure\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Explore Azure Storage for non-relational data\u003c\/h4\u003e\n\u003cp\u003eAzure Storage is a core Microsoft Azure service commonly used to store non-relational data.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIn this module, you'll learn how to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDescribe features and capabilities of Azure blob storage\u003c\/li\u003e\n\u003cli\u003eDescribe the features and capabilities of Azure Data Lake Gen2\u003c\/li\u003e\n\u003cli\u003eDescribe the features and capabilities of Azure file storage\u003c\/li\u003e\n\u003cli\u003eDescribe features and capabilities of Azure table storage\u003c\/li\u003e\n\u003cli\u003eProvision and use an Azure Storage account\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Explore fundamentals of Azure Cosmos DB\u003c\/h4\u003e\n\u003cp\u003eAzure Cosmos DB provides a highly scalable store for non-relational data.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIn this module, you'll learn how to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDescribe key features and capabilities of Azure Cosmos DB\u003c\/li\u003e\n\u003cli\u003eIdentify the APIs supported in Azure Cosmos DB\u003c\/li\u003e\n\u003cli\u003eProvision and use an Azure Cosmos DB instance\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 7: Explore fundamentals of large-scale data warehousing\u003c\/h4\u003e\n\u003cp\u003eOrganizations use modern data warehousing to build large-scale data analytics solutions that generate insights and drive success. Microsoft Azure includes multiple technologies you can combine to build a modern data warehousing solution.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIn this module, you will learn how to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentify common elements of a modern data warehousing solution\u003c\/li\u003e\n\u003cli\u003eDescribe critical features for data ingestion pipelines\u003c\/li\u003e\n\u003cli\u003eIdentify common types of analytical data stores and related Azure services\u003c\/li\u003e\n\u003cli\u003eProvision Azure Synapse Analytics and use it to ingest, process, and query data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 8: Explore fundamentals of real-time analytics\u003c\/h4\u003e\n\u003cp\u003eLearn about the basics of stream processing and the services in Microsoft Azure that you can use to implement real-time analytics solutions.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCompare batch and stream processing.\u003c\/li\u003e\n\u003cli\u003eDescribe common elements of streaming data solutions\u003c\/li\u003e\n\u003cli\u003eDescribe the features and capabilities of Azure Stream Analytics\u003c\/li\u003e\n\u003cli\u003eDescribe features and capabilities of Spark Structured Streaming on Azure\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 9: Explore fundamentals of data visualization\u003c\/h4\u003e\n\u003cp\u003eLearn the fundamental principles of analytical data modeling and data visualization using Microsoft Power BI as a platform to explore these principles in action.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAfter completing this module, you will be able to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDescribe a high-level process for creating reporting solutions with Microsoft Power BI\u003c\/li\u003e\n\u003cli\u003eDescribe the core principles of analytical data modeling\u003c\/li\u003e\n\u003cli\u003eIdentify common types of data visualization and their uses\u003c\/li\u003e\n\u003cli\u003eCreate an interactive report with Power BI Desktop\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"26AB25US \/ 2026-10-19T09:00:00 \/ Online","offer_id":44748299337864,"sku":"US-8586-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"26BA59CN \/ 2026-11-23T09:00:00 \/ Online","offer_id":44748299370632,"sku":"US-8586-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"271B36US \/ 2027-01-19T09:00:00 \/ Online","offer_id":44748299403400,"sku":"US-8586-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"272A44CN \/ 2027-02-23T09:00:00 \/ Online","offer_id":44825175359624,"sku":"US-8586-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"274B04US \/ 2027-04-19T09:00:00 \/ Online","offer_id":45055860506760,"sku":"US-8586-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"275A47CN \/ 2027-05-25T09:00:00 \/ Online","offer_id":45866394943624,"sku":"US-8586-IL","price":488.0,"currency_code":"USD","in_stock":true}]},{"product_id":"introduction-to-ai-data-science-machine-learning-with-python-1","title":"Introduction to AI, Data Science \u0026 Machine Learning with Python","description":"\u003cdiv\u003e\n\u003cp\u003eData is at the heart of modern business decision-making, but in today's AI-driven world, Data Scientists need more than traditional analytics skills alone. Organizations are increasingly looking for professionals who can combine Data Science, Machine Learning, Python, and Generative AI to solve real business problems and deliver measurable value.\u003c\/p\u003e\r\n\u003cp\u003eIn this hands-on course, you'll learn the complete Data Science lifecycle, from translating business questions into analytical problems, to exploring data, building predictive models, communicating insights, and leveraging modern AI tools. Along the way, you'll discover how Generative AI is transforming the role of the Data Scientist and learn practical ways to use AI assistants to accelerate coding, analysis, visualization, and model interpretation.\u003c\/p\u003e\r\n\u003cp\u003eUsing Python and industry-standard libraries such as Pandas, Matplotlib, Seaborn, and Scikit-Learn, you'll build real-world solutions including customer churn models, recommendation systems, customer segmentation models, predictive forecasting models, and social network analyses.\u003c\/p\u003e\r\n\u003cp\u003eYou'll also explore emerging topics shaping the future of the profession, including Foundation Models, GPTs, Retrieval-Augmented Generation (RAG), embeddings, AI agents, synthetic data, Explainable AI, and Responsible AI.\u003c\/p\u003e\r\n\u003cp\u003eThrough practical exercises, guided labs, and AI-assisted challenges, you'll gain hands-on experience applying Data Science and Machine Learning techniques to realistic business scenarios. By the end of the course, you'll understand not only how Data Science is practiced today, but how it is evolving in the Age of AI.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eIntroduction to AI, Data Science \u0026amp; Machine Learning with Python Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand the role of the modern Data Scientist and how Machine Learning, Generative AI, and AI-assisted workflows fit into the Data Science lifecycle\u003c\/li\u003e\n\u003cli\u003eTranslate business questions into Machine Learning and AI solutions that support data-driven decision-making\u003c\/li\u003e\n\u003cli\u003eUse Python, Pandas, and AI assistants to acquire, explore, analyze, and visualize data\u003c\/li\u003e\n\u003cli\u003eLearn how Generative AI can accelerate coding, data preparation, visualization, reporting, model interpretation, and analytical workflows\u003c\/li\u003e\n\u003cli\u003eApply Exploratory Data Analysis (EDA) techniques to uncover patterns, assess data quality, detect bias, and evaluate model readiness\u003c\/li\u003e\n\u003cli\u003eExplore contemporary AI concepts including Foundation Models, GPTs, embeddings, Retrieval-Augmented Generation (RAG), synthetic data, and AI agents\u003c\/li\u003e\n\u003cli\u003eBuild predictive models using Linear Regression, Logistic Regression, Decision Trees, Naïve Bayes, and Neural Networks, while learning how Generative AI can assist model development and interpretation\u003c\/li\u003e\n\u003cli\u003eSegment customers using Clustering, discover purchasing patterns using Association Rules, and build Recommendation Systems that support personalization and business growth\u003c\/li\u003e\n\u003cli\u003eAnalyze relationships between people, products, and organizations using Social Network Analysis, graph analytics, and modern AI applications\u003c\/li\u003e\n\u003cli\u003eUnderstand the importance of Responsible AI, Explainable AI, fairness, governance, and the future of Data Science in the Age of AI\u003c\/li\u003e\n\u003cli\u003eTest your knowledge with an end-of-course assessment\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eTraining Prerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNone.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eData Science Training in Python Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: The Modern Data Scientist and AI Landscape\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eExplore how the role of the Data Scientist is evolving in the age of Generative AI, Foundation Models, and AI-assisted analytics\u003c\/li\u003e\n\u003cli\u003eUnderstand the technical, analytical, business, and communication skills required of modern Data Scientists\u003c\/li\u003e\n\u003cli\u003eExamine how Data Scientists, Data Engineers, Machine Learning Engineers, and AI Engineers differ in their roles of delivering value from data\u003c\/li\u003e\n\u003cli\u003eFollow the complete Data Science lifecycle, from business problem definition and data acquisition through model development, deployment, and governance\u003c\/li\u003e\n\u003cli\u003eLearn how to translate business questions into Data Science, Machine Learning, and AI opportunities\u003c\/li\u003e\n\u003cli\u003eExplore the concepts behind Foundation Models, Large Language Models (LLMs), Generative Pre-trained Transformers (GPTs), embeddings, and Retrieval-Augmented Generation (RAG)\u003c\/li\u003e\n\u003cli\u003eDiscover how organizations combine traditional Machine Learning with Generative AI and AI agents to solve real-world business problems\u003c\/li\u003e\n\u003cli\u003eUnderstand why Responsible AI, explainability, fairness, privacy, and governance are becoming core competencies for modern Data Scientists\u003c\/li\u003e\n\u003cli\u003eExamine how an AI Assistant might be used in writing Python code and suggesting analysis approaches\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Data Preparation and Exploratory Analysis for Machine Learning and AI\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eBuild practical Python skills used by today’s Data Scientists, Machine Learning Engineers, and AI practitioners\u003c\/li\u003e\n\u003cli\u003eUse Python’s pandas library to explore, transform, combine, and prepare data for Machine Learning and AI applications\u003c\/li\u003e\n\u003cli\u003eApply Exploratory Data Analysis (EDA) techniques to uncover patterns, trends, anomalies, and business insights\u003c\/li\u003e\n\u003cli\u003eAssess data quality and address common challenges such as missing values, duplicates, outliers, normalization, and feature scaling\u003c\/li\u003e\n\u003cli\u003eExplore how EDA can help identify bias, fairness concerns, and model readiness before building Machine Learning models\u003c\/li\u003e\n\u003cli\u003eCreate effective visualizations using pandas, Matplotlib, and Seaborn to support data exploration, communication, and decision-making\u003c\/li\u003e\n\u003cli\u003eExamine how an AI Assistant might be used as a Personal Tutor or for Code Documentation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Pre-processing Unstructured Data\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eExplore how Data Scientists work with unstructured data such as text, images, audio, and video to support business decision-making\u003c\/li\u003e\n\u003cli\u003eLearn the fundamentals of Natural Language Processing (NLP), including text preprocessing, tokenization, feature engineering, vectorization, and text classification\u003c\/li\u003e\n\u003cli\u003eCompare traditional NLP techniques such as TF-IDF and term-document matrices with modern approaches based on embeddings, transformers, and Large Language Models (LLMs)\u003c\/li\u003e\n\u003cli\u003eGenerate and analyze embeddings using modern AI models, and discover how semantic similarity powers search, recommendation systems, Retrieval-Augmented Generation (RAG), and AI assistants\u003c\/li\u003e\n\u003cli\u003eUse Python libraries, OpenAI APIs, and Generative AI tools to prepare, analyze, and extract insights from unstructured data for Machine Learning and AI applications\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Predictive Analytics and Explainable AI with Linear Regression\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eLearn how to translate business forecasting problems into regression-based Machine Learning models and predictive analytics solutions\u003c\/li\u003e\n\u003cli\u003eBuild and train linear regression models in Python to predict continuous outcomes such as revenue, sales, costs, pricing, and resource consumption\u003c\/li\u003e\n\u003cli\u003eExplore simple and multiple linear regression techniques, including how model coefficients can be used to understand relationships between variables\u003c\/li\u003e\n\u003cli\u003eEvaluate model quality using statistical measures, residual analysis, and visualization techniques to assess predictive performance\u003c\/li\u003e\n\u003cli\u003eUnderstand the assumptions behind linear regression and learn how data quality, correlation, and feature selection can influence model accuracy\u003c\/li\u003e\n\u003cli\u003eDiscover why interpretable models remain important in modern AI systems, helping organizations explain predictions, support decision-making, and meet governance requirements\u003c\/li\u003e\n\u003cli\u003eUse a Generative AI Assistant to help explain the Regression findings to a non-technical audience\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Classification, Decision Trees, and Explainable AI\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eLearn how classification models predict categorical outcomes and support decision-making across business, healthcare, finance, security, and AI applications\u003c\/li\u003e\n\u003cli\u003eExplore the fundamentals of supervised learning, including training and test datasets, target variables, and predictor features used to build classification models\u003c\/li\u003e\n\u003cli\u003eBuild and apply decision tree classifiers that use recursive partitioning to categorize data and generate transparent, rule-based predictions\u003c\/li\u003e\n\u003cli\u003eEvaluate classification model performance using confusion matrices, accuracy and error rates while understanding the impact of class imbalance on results\u003c\/li\u003e\n\u003cli\u003eCompare common classification algorithms, including Decision Trees, Logistic Regression, Support Vector Machines, Random Forests, Neural Networks, and modern AI classification models\u003c\/li\u003e\n\u003cli\u003eExamine the growing importance of explainable AI, learning how decision trees provide transparent reasoning that can be understood, validated, and audited by business and regulatory stakeholders\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Alternative Approaches to Classification and Model Evaluation  \u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eExplore alternative classification techniques beyond decision trees, including Logistic Regression, Neural Networks, and Naive Bayes\u003c\/li\u003e\n\u003cli\u003eLearn how Logistic Regression predicts binary outcomes by estimating probabilities, making it a widely used and highly interpretable classification method in business, healthcare, finance, and risk analytics\u003c\/li\u003e\n\u003cli\u003eConsidering how Activation Functions are integral to Logistic Regression Classifiers\u003c\/li\u003e\n\u003cli\u003eDelve into the architecture of Neural Networks and investigate the explosive growth of Deep Learning and Transformer approaches in AI\u003c\/li\u003e\n\u003cli\u003eExploring the probability foundations of Naive Bayes classifiers\u003c\/li\u003e\n\u003cli\u003eReviewing additional approaches to assess model performance: Precision, Recall, F1, ROC curves, and AUC metrics\u003c\/li\u003e\n\u003cli\u003eUse an AI assistant to visualize a neural network\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 7: Unsupervised Learning, Clustering, and Pattern Discovery in AI\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand clustering as an unsupervised learning technique that identifies natural groupings within data without predefined labels, making it useful for discovering hidden patterns and relationships\u003c\/li\u003e\n\u003cli\u003eExplore the concept of similarity and learn how clustering groups observations that are alike while separating observations that are significantly different based on their characteristics\u003c\/li\u003e\n\u003cli\u003eExamine various distance measures, including Euclidean and correlation-based distances, and understand how the choice of similarity metric can significantly influence clustering outcomes\u003c\/li\u003e\n\u003cli\u003eApply K-Means clustering to partition data into meaningful clusters through centroid initialization, cluster assignment, and iterative centroid updates until stable groupings are achieved\u003c\/li\u003e\n\u003cli\u003eLearn the importance of feature scaling and data preparation to ensure variables are comparable and clustering algorithms produce accurate and meaningful results\u003c\/li\u003e\n\u003cli\u003eExplore Hierarchical Clustering methods and understand how clustering supports business analytics, customer segmentation, recommendation systems, anomaly detection, and modern AI applications involving embeddings and similarity search\u003c\/li\u003e\n\u003cli\u003eUse an AI Assistant to help describe the characteristics of clusters from the centroid values\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 8: Association Rule Mining and AI-Powered Recommendation Systems\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand association rules as an unsupervised learning technique used to identify relationships between items that frequently occur together in transaction data, helping organizations uncover hidden patterns without predefined target variables\u003c\/li\u003e\n\u003cli\u003eLearn how association analysis supports business decision-making through market basket analysis, product placement, cross-selling, recommendation systems, fraud detection, website optimization, healthcare analytics, and manufacturing quality control.\u003c\/li\u003e\n\u003cli\u003eExplore how organizations can find meaningful patterns in anonymous transaction data, using purchase histories and item combinations to generate actionable insights even 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learning to modern AI techniques and learn how modern data management can supply efficient solutions to technical, business, and administrative challenges.\u003c\/p\u003e\r\n\u003cp\u003eThis data management tools, machine learning and AI course includes 6 hours of ILT (Instructor-Led Training) or VILT (Virtual Instructor-Led Training) presented by a real-world expert instructor.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eData Management Tools, Machine Learning and AI Training Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this machine learning training, you will learn how to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDeliver business value using ML, AI, and Data Analytics\u003c\/li\u003e\n\u003cli\u003eManage corporate data assets using Data Warehouses and Data Integration\u003c\/li\u003e\n\u003cli\u003eExplore ML and AI evolution and trends such as ChatGPT\u003c\/li\u003e\n\u003cli\u003eDefine business strategies for Data Management, ML, and AI\u003c\/li\u003e\n\u003cli\u003eLeverage continued support with after-course one-on-one instructor coaching and computing sandbox\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eBefore taking this course, attendees should have:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWorking knowledge of Internet and data technologies\u003c\/li\u003e\n\u003cli\u003eA background in programming and data analysis is not needed.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eData Management Tools, Machine Learning and AI Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Introduction to Data Management, ML, and AI\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eEvolution of Data Management and 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Online","offer_id":44940724994184,"sku":"US-1238-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"276A52US \/ 2027-06-28T09:00:00 \/ Online","offer_id":46141927653512,"sku":"US-1238-IL","price":488.0,"currency_code":"USD","in_stock":true}]},{"product_id":"applied-data-science-with-python-and-jupyter","title":"Beginner Data Science with Python and Jupyter","description":"\u003cdiv\u003e\u003cp\u003eThis hands-on course introduces data science fundamentals using the Python programming language and the powerful Jupyter Notebook platform. You’ll explore everything from data cleaning and machine learning to web scraping and interactive visualization—turning raw data into smart insights with real-world relevance.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eBeginner Data Science with Python and Jupyter Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLearn by doing: practice with real datasets and coding exercises.\u003c\/li\u003e\n\u003cli\u003eGain fluency in Jupyter Notebooks, Python libraries, and machine learning tools.\u003c\/li\u003e\n\u003cli\u003eBuild models to solve classification problems and interpret results.\u003c\/li\u003e\n\u003cli\u003eScrape data from the web and visualize it like a pro.\u003c\/li\u003e\n\u003cli\u003eWalk away with a toolkit to tackle data-driven problems in any domain.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eKnowledge of programming fundamentals and some experience with Python, including Python libraries, Pandas, Matplotlib, and scikit-learn.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eBeginner Data Science with Python and Jupyter Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eLesson 1: Jupyter Fundamentals\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eIntroduction to Jupyter Notebooks\u003c\/li\u003e\n\u003cli\u003eData exploration using the Boston Housing Dataset\u003c\/li\u003e\n\u003cli\u003eFirst steps in predictive analytics\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eLesson 2: Data Cleaning \u0026amp; Machine Learning\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eData preprocessing strategies\u003c\/li\u003e\n\u003cli\u003eClassification models: SVM, KNN, Random Forests\u003c\/li\u003e\n\u003cli\u003eModel evaluation and dimensionality reduction (PCA)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eLesson 3: Web Scraping \u0026amp; Interactive Visualizations\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eHTTP requests \u0026amp; HTML parsing with Python\u003c\/li\u003e\n\u003cli\u003eData scraping with Beautiful Soup\u003c\/li\u003e\n\u003cli\u003eBuilding interactive plots with Bokeh\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eLesson 4: Applied Projects\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eInvestigating datasets through EDA\u003c\/li\u003e\n\u003cli\u003eTraining and tuning classification models\u003c\/li\u003e\n\u003cli\u003eCreating impactful, interactive visualizations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"269C25US \/ 2026-09-15T09:00:00 \/ Online","offer_id":44748321030280,"sku":"US-1263-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"26BA67US \/ 2026-11-09T09:00:00 \/ Online","offer_id":44748321063048,"sku":"US-1263-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"271A79US \/ 2027-01-19T09:00:00 \/ Online","offer_id":44748321128584,"sku":"US-1263-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"273A63US \/ 2027-03-16T09:00:00 \/ Online","offer_id":44891016069256,"sku":"US-1263-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"275A58US \/ 2027-05-17T09:00:00 \/ Online","offer_id":45829552210056,"sku":"US-1263-IL","price":488.0,"currency_code":"USD","in_stock":true}]},{"product_id":"python-data-wrangling-training","title":"Python Data Wrangling Training","description":"\u003cdiv\u003e\n\u003cp\u003eIn this \u003cstrong\u003ePython Data Wrangling\u003c\/strong\u003e course, you will learn how to use Python to extract\/transform data from various sources, including large database vaults and Excel financial tables.\u003c\/p\u003e\r\n\u003cp\u003eYou will also explore insights into why you should avoid traditional data cleaning methods, as done in other languages, and take advantage of the specialized functions from \u003ca href=\"https:\/\/numpy.org\/\" title=\"NumPy\" target=\"_blank\" rel=\"external nofollow noopener\"\u003eNumPy\u003c\/a\u003e and Pandas.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003ePython Data Wrangling Training Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this Python Wrangling course, you will learn how to do the following:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eExtract and parse data from various sources.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eTransform and clean data using Numpy and Pandas.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003eSummarize and visualize data with\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/matplotlib.org\/\" title=\"Matplotlib | Visualization with Python\" target=\"_blank\" rel=\"external nofollow noopener\"\u003eMatplotlib.\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003eRead\u003cspan\u003e \u003c\/span\u003e\u003cabbr title=\"HyperText Markup Language\"\u003eHTML\u003c\/abbr\u003e,\u003cspan\u003e \u003c\/span\u003e\u003cabbr title=\"eXtensible Markup Language\"\u003eXML\u003c\/abbr\u003e, and\u003cspan\u003e \u003c\/span\u003e\u003cabbr title=\"JavaScript Object Notation\"\u003eJSON\u003c\/abbr\u003e\u003cspan\u003e \u003c\/span\u003edata from internet resources.\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eSearch and filter data sets.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eApply Python tools and techniques to process data sets efficiently.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003eContinue learning and face new challenges with after-course one-on-one instructor coaching.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eYou should know Python basics, including data structures, importing and using modules, creating functions, and using the Jupyter Notebook platform.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003ePython Data Wrangling Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Introduction to Data Structure Using Python\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about the following:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePython for Data Wrangling\u003c\/li\u003e\n\u003cli\u003eLists, Sets, Strings, Tuples, and Dictionaries\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Advanced Operations on Built-In Data Structure\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about the following:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAdvanced Data Structures\u003c\/li\u003e\n\u003cli\u003eBasic File Operations in Python\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Introduction to NumPy, Pandas, and Matplotlib\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about the following: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNumPy Arrays \u003c\/li\u003e\n\u003cli\u003ePandas DataFrames \u003c\/li\u003e\n\u003cli\u003eStatistics and Visualization with NumPy and Pandas \u003c\/li\u003e\n\u003cli\u003eUsing NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Deep Dive into Data Wrangling with Python\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about the following: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSubsetting, Filtering, and Grouping \u003c\/li\u003e\n\u003cli\u003eDetecting Outliers and Handling Missing Values \u003c\/li\u003e\n\u003cli\u003eConcatenating, Merging, and Joining \u003c\/li\u003e\n\u003cli\u003eUseful Methods of Pandas \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Getting Comfortable with Different Data Sources\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about the following: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eReading Data from Different Text-Based (and Non-Text-Based) Sources \u003c\/li\u003e\n\u003cli\u003eIntroduction to BeautifulSoup4 and Web Page Parsing \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Learning the Hidden Secrets of Data Wrangling\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about the following: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAdvanced List Comprehension and the zip function \u003c\/li\u003e\n\u003cli\u003eData Formatting \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 7: Advanced Web Scraping and Data Gathering\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about the following: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBasics of Web Scraping and BeautifulSoup libraries \u003c\/li\u003e\n\u003cli\u003eReading Data from XML \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 8: RDBMS and SQL\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about the following:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eRefresher of 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York","offer_id":46111252906120,"sku":"US-1273-IL","price":1844.0,"currency_code":"USD","in_stock":true}]},{"product_id":"comptia-data-®-certification-training","title":"CompTIA Data+® Certification Training","description":"\u003cdiv\u003e\n\u003cp\u003eUnlock the power of data-driven decision-making with the \u003cstrong\u003eCompTIA Data+\u003c\/strong\u003e Certification Training! As the importance of data analytics continues to grow, more job roles are being created to set a context and better communicate vital business intelligence. This comprehensive course will teach you the skills required to facilitate data-driven business decisions, including mining, manipulating, visualizing, and reporting data. \u003c\/p\u003e\r\n\u003cp\u003eLearn to apply basic statistical methods and analyze complex datasets while adhering to governance and quality standards throughout the entire data life cycle. The course also covers data integration and collection methods, data governance tools, and how to express business requirements in a report format. \u003c\/p\u003e\r\n\u003cp\u003eUpon completing the course, you will receive a CompTIA Data+ Exam Voucher and the opportunity to work with an instructor for after-course one-on-one coaching. If you're a data analyst, reporting analyst, business intelligence analyst, clinical analyst, marketing analyst, operations analyst, or simply someone interested in data analytics, this course is for you!\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eCompTIA Data+® Certification Training Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eParticipate in Instruction from CompTIA-certifiedData+ Certification preparation course.\u003c\/li\u003e\n\u003cli\u003eReceive a CompTIA Data+ Exam Voucher included upon completion of the course.\u003c\/li\u003e\n\u003cli\u003eIdentify Data Concepts and Environments important in analytics.\u003c\/li\u003e\n\u003cli\u003eExecute techniques in Data Mining, Data Mining, and Visualization.\u003c\/li\u003e\n\u003cli\u003eSummarize the importance of Data Governance, Quality, and Controls.\u003c\/li\u003e\n\u003cli\u003eContinue learning and face new challenges with after-course one-on-one instructor coaching.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eTraining Prerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCompTIA recommends 18–24 months (about 2 years) of experience in a report\/business analyst job to succeed in this course.\u003c\/li\u003e\n\u003cli\u003eExposure to databases and analytical tools, a basic understanding of statistics, and data visualization experiences, such as Excel, Power BI (Business Intelligence), and Tableau.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCertification Information\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCompTIA DA0-001\u003c\/li\u003e\n\u003cli\u003eTesting through Pearson VUE\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eCompTIA Data+ Instructor-Led Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Identifying Basic Concepts of Data Schemas\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentify Relational and Non-Relational Databases\u003c\/li\u003e\n\u003cli\u003eUnderstand the Way We Use Tables, Primary Keys, and Normalization\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Understanding Different Data Systems\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDescribe Types of Data Processing and Storage Systems\u003c\/li\u003e\n\u003cli\u003eExplain How Data Changes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Understanding Types and Characteristics of Data\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand Types of Data\u003c\/li\u003e\n\u003cli\u003eBreak Down the Field Data Types\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDifferentiate between Structured Data and Unstructured Data\u003c\/li\u003e\n\u003cli\u003eRecognize Different File Formats\u003c\/li\u003e\n\u003cli\u003eUnderstand the Different Code Languages Used for Data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Explaining Data Integration and Collection Methods\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand the Processes of Extracting, Transforming, and Loading Data\u003c\/li\u003e\n\u003cli\u003eExplain \u003cabbr title=\"Application Programming Interface\"\u003eAPI\u003c\/abbr\u003e\/Web Scraping and Other Collection Methods\u003c\/li\u003e\n\u003cli\u003eCollect and Use Public and Publicly-Available Data\u003c\/li\u003e\n\u003cli\u003eUse and Collect Survey Data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Identifying Common Reasons for Cleansing and Profiling Data\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLearn to Profile Data\u003c\/li\u003e\n\u003cli\u003eAddress Redundant, Duplicated, and Unnecessary Data\u003c\/li\u003e\n\u003cli\u003eWork with Missing Values\u003c\/li\u003e\n\u003cli\u003eAddress Invalid Data\u003c\/li\u003e\n\u003cli\u003eConvert Data to Meet Specifications\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 7: Executing Different Data Manipulation Techniques\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eManipulate Field Data and Create Variables\u003c\/li\u003e\n\u003cli\u003eTranspose and Append Data\u003c\/li\u003e\n\u003cli\u003eQuery Data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 8: Explaining Common Techniques for Data Manipulation and Optimization\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUse Functions to Manipulate Data\u003c\/li\u003e\n\u003cli\u003eUse Common Techniques for Query Optimization\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 9: Applying Descriptive Statistical Methods\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how 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Dashboards\u003c\/li\u003e\n\u003cli\u003eUnderstand Ways to Sort and Filter Data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 14: Designing Components for Reports and Dashboards\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDesign Elements for Reports and Dashboards\u003c\/li\u003e\n\u003cli\u003eUtilize Standard Elements\u003c\/li\u003e\n\u003cli\u003eCreating a Narrative and Other Written Elements\u003c\/li\u003e\n\u003cli\u003eUnderstand Deployment Considerations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 15: Distinguishing Different Report Types\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand How Updates and Timing Affect Reporting\u003c\/li\u003e\n\u003cli\u003eDifferentiate Between Types of 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data\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Storing and Querying Data\u003c\/h4\u003e\n\u003cp\u003eDescribe different types of data storage\u003c\/p\u003e\n\u003cp\u003eAssess the quality of data\u003c\/p\u003e\n\u003cp\u003eOutline the ETL and ELT processes\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: HDFS, Spark, and Kafka\u003c\/h4\u003e\n\u003cp\u003eDefine Hadoop and HDFS\u003c\/p\u003e\n\u003cp\u003eDescribe Spark\u003c\/p\u003e\n\u003cp\u003eWork with Kafka\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: NoSQL Databases\u003c\/h4\u003e\n\u003cp\u003eDefine NoSQL\u003c\/p\u003e\n\u003cp\u003eIntroduce the different types of Big Data data stores\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eKey-value\u003c\/li\u003e\n\u003cli\u003eDocument\u003c\/li\u003e\n\u003cli\u003eColumn family\u003c\/li\u003e\n\u003cli\u003eGraph\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eGain experience using Big Data data stores, including\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eRedis\u003c\/li\u003e\n\u003cli\u003eMongoDB\u003c\/li\u003e\n\u003cli\u003eCassandra\u003c\/li\u003e\n\u003cli\u003eNeo4j\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003ePerform text searches with Lucene and Elasticsearch\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Analyzing and Interpreting Data\u003c\/h4\u003e\n\u003cp\u003eDiscuss statistical analysis of Data\u003c\/p\u003e\n\u003cp\u003eExplore machine learning including\u003c\/p\u003e\n\u003cp\u003eRecommendations\u003c\/p\u003e\n\u003cp\u003eClustering\u003c\/p\u003e\n\u003cp\u003eClassification\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Neural Networks\u003c\/h4\u003e\n\u003cp\u003eIntroduce key ideas behind neural networks\u003c\/p\u003e\n\u003cp\u003eUtilize deep neural networks for more complex problems\u003c\/p\u003e\n\u003cp\u003eExamine generational neural networks\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 7: Visualization\u003c\/h4\u003e\n\u003cp\u003eVisualize data to communicate results\u003c\/p\u003e\n\u003cp\u003eExamine plots used for different purposes\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"26BA53US \/ 2026-11-23T09:00:00 \/ Herndon, VA","offer_id":44748286427272,"sku":"US-1250-IL","price":1844.0,"currency_code":"USD","in_stock":true},{"title":"271A74US \/ 2027-01-20T09:00:00 \/ Herndon, VA","offer_id":44748286460040,"sku":"US-1250-IL","price":1844.0,"currency_code":"USD","in_stock":true},{"title":"273A59US \/ 2027-03-23T09:00:00 \/ Herndon, VA","offer_id":44914468651144,"sku":"US-1250-IL","price":1844.0,"currency_code":"USD","in_stock":true},{"title":"275A54US \/ 2027-05-26T09:00:00 \/ Herndon, VA","offer_id":45883016249480,"sku":"US-1250-IL","price":1844.0,"currency_code":"USD","in_stock":true}]},{"product_id":"data-visualization-with-python-training","title":"Data Visualization with Python Training","description":"\u003cdiv\u003e\u003cp\u003eIn this \u003cstrong\u003eData Visualization with Python\u003c\/strong\u003e Training course, you’ll learn how to use Python’s data visualization libraries, including NumPy, Pandas, Matplotlib, and Seaborn to better understand data analytics.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eData Visualization with Python Training Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cp\u003eLearn how to use various plot types with Python\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eExplore and work with different libraries for data visualization\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eUnderstand and create effective visualizations\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eImprove your Python data wrangling skills\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eWork with industry-standard tools, including \u003ca href=\"https:\/\/matplotlib.org\/\" title=\"Matplotlib: Visualization with Python\" target=\"_blank\" rel=\"external nofollow noopener\"\u003eMatplotlib\u003c\/a\u003e, Seaborn, and Bokeh\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eLearn different data formats and representations\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eLearn how to use Geoplotlib and \u003ca href=\"https:\/\/bokeh.org\/\" title=\"Bokeh: Visualization with Python\" target=\"_blank\" rel=\"external nofollow noopener\"\u003eBokeh\u003c\/a\u003e\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eContinue learning and face new challenges with after-course one-on-one instructor coaching\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eData Visualization with Python Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Fundamentals of Python\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eImportance of Data Visualization\u003c\/li\u003e\n\u003cli\u003eVisualization Using Python\u003c\/li\u003e\n\u003cli\u003eData Cleaning\u003c\/li\u003e\n\u003cli\u003eData Wrangling\u003c\/li\u003e\n\u003cli\u003eTypes of Data\u003c\/li\u003e\n\u003cli\u003eStatistics\u003c\/li\u003e\n\u003cli\u003eProbability\u003c\/li\u003e\n\u003cli\u003eExploratory Data Analysis\u003c\/li\u003e\n\u003cli\u003ePython\u003c\/li\u003e\n\u003cli\u003eJupyter Notebook\u003c\/li\u003e\n\u003cli\u003eGoogle Colab and Kaggle Notebooks\u003c\/li\u003e\n\u003cli\u003eJupyterLab\u003c\/li\u003e\n\u003cli\u003eBasic Python Data Types\u003c\/li\u003e\n\u003cli\u003eFlow Control\u003c\/li\u003e\n\u003cli\u003eSlicing\u003c\/li\u003e\n\u003cli\u003eDefining Functions\u003c\/li\u003e\n\u003cli\u003eLambdas\u003c\/li\u003e\n\u003cli\u003eClasses\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: NumPy and Pandas\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNumPy\u003c\/li\u003e\n\u003cli\u003eThe NumPy ndarray Object\u003c\/li\u003e\n\u003cli\u003eSlicing ndarrays\u003c\/li\u003e\n\u003cli\u003eBoolean Indexing\u003c\/li\u003e\n\u003cli\u003eElement-wise Arithmetic\u003c\/li\u003e\n\u003cli\u003eTranspose of a ndarray\u003c\/li\u003e\n\u003cli\u003eDot Products\u003c\/li\u003e\n\u003cli\u003eStacking\u003c\/li\u003e\n\u003cli\u003eSciPy\u003c\/li\u003e\n\u003cli\u003epandas\u003c\/li\u003e\n\u003cli\u003eSeries and DataFrames\u003c\/li\u003e\n\u003cli\u003eLoading and Saving Data With pandas\u003c\/li\u003e\n\u003cli\u003eCreating DataFrames\u003c\/li\u003e\n\u003cli\u003eInspecting Data\u003c\/li\u003e\n\u003cli\u003eSelecting Columns and Rows\u003c\/li\u003e\n\u003cli\u003eThe head() and tail() methods\u003c\/li\u003e\n\u003cli\u003eBasic Plots\u003c\/li\u003e\n\u003cli\u003eDescriptive Statistics From a DataFrame\u003c\/li\u003e\n\u003cli\u003eFiltering, Sorting, and Grouping\u003c\/li\u003e\n\u003cli\u003eReplacing Values and Renaming Columns\u003c\/li\u003e\n\u003cli\u003eJoining and Combining Dataframes\u003c\/li\u003e\n\u003cli\u003eReading Data From Files\u003c\/li\u003e\n\u003cli\u003eReading From a Relational Database\u003c\/li\u003e\n\u003cli\u003eLoading External Data From NoSQL Stores (MongoDB)\u003c\/li\u003e\n\u003cli\u003eSciPy\u003c\/li\u003e\n\u003cli\u003eSci-Kit Learn\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Visualization with Matplotlib\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eMatplotlib\u003c\/li\u003e\n\u003cli\u003eArchitecture\u003c\/li\u003e\n\u003cli\u003eThe Figure Object\u003c\/li\u003e\n\u003cli\u003eAxes, Labels, Titles, Legends and Grids\u003c\/li\u003e\n\u003cli\u003eReading Data from Files and Other DataSources\u003c\/li\u003e\n\u003cli\u003eThe pyplot \u003cabbr title=\"Application Programming Interface\"\u003eAPI\u003c\/abbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eThe plot() Method\u003c\/li\u003e\n\u003cli\u003eThe Format String\u003c\/li\u003e\n\u003cli\u003eMarkers and Line Styles\u003c\/li\u003e\n\u003cli\u003ePlotting Labelled Data\u003c\/li\u003e\n\u003cli\u003ePlotting Multiple Graphs on the Same Axes\u003c\/li\u003e\n\u003cli\u003eSaving Figures\u003c\/li\u003e\n\u003cli\u003eLabels and Titles\u003c\/li\u003e\n\u003cli\u003eAnnotations\u003c\/li\u003e\n\u003cli\u003eLegends\u003c\/li\u003e\n\u003cli\u003eLine Chart\u003c\/li\u003e\n\u003cli\u003eArea Chart\u003c\/li\u003e\n\u003cli\u003eStacked Area Chart\u003c\/li\u003e\n\u003cli\u003eScatter Plot\u003c\/li\u003e\n\u003cli\u003eBubble Chart\u003c\/li\u003e\n\u003cli\u003eHeat Map\u003c\/li\u003e\n\u003cli\u003eContour Plot\u003c\/li\u003e\n\u003cli\u003eHistogram\u003c\/li\u003e\n\u003cli\u003eKernel Density Estimate Plot\u003c\/li\u003e\n\u003cli\u003eBox Plots\u003c\/li\u003e\n\u003cli\u003eViolin Plots\u003c\/li\u003e\n\u003cli\u003eBar Plot\u003c\/li\u003e\n\u003cli\u003eGrouped bar or column chart\u003c\/li\u003e\n\u003cli\u003eStacked Bar Plots\u003c\/li\u003e\n\u003cli\u003eError bars\u003c\/li\u003e\n\u003cli\u003eRadar Plots\u003c\/li\u003e\n\u003cli\u003ePie Plots and Donuts\u003c\/li\u003e\n\u003cli\u003eTree Maps\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Simplifying Visualization with Seaborn\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSeaborn\u003c\/li\u003e\n\u003cli\u003eStyling\u003c\/li\u003e\n\u003cli\u003eScaling and the Plotting Context\u003c\/li\u003e\n\u003cli\u003eOverriding Context Settings with the rc Parameter\u003c\/li\u003e\n\u003cli\u003eThemes\u003c\/li\u003e\n\u003cli\u003eColors in Seaborn\u003c\/li\u003e\n\u003cli\u003eVarying Hue to Distinguish Categories\u003c\/li\u003e\n\u003cli\u003eVary Luminance to Represent Numbers\u003c\/li\u003e\n\u003cli\u003eChoosing a Palette with the color_palette() Function\u003c\/li\u003e\n\u003cli\u003eQualitative Color Palettes\u003c\/li\u003e\n\u003cli\u003eSequential Palettes\u003c\/li\u003e\n\u003cli\u003eDiverging Palettes\u003c\/li\u003e\n\u003cli\u003eHistograms\u003c\/li\u003e\n\u003cli\u003eMultiple Histograms on the Same Axes\u003c\/li\u003e\n\u003cli\u003eKernel Density Plots\u003c\/li\u003e\n\u003cli\u003eBox Plots\u003c\/li\u003e\n\u003cli\u003eViolin Plots\u003c\/li\u003e\n\u003cli\u003eContour Plots\u003c\/li\u003e\n\u003cli\u003eThe FacetGrid\u003c\/li\u003e\n\u003cli\u003eSome Functions that Return a FacetGrid\u003c\/li\u003e\n\u003cli\u003ePair Plots\u003c\/li\u003e\n\u003cli\u003eThe relplot() Function\u003c\/li\u003e\n\u003cli\u003eThe regplot() and implot() Functions\u003c\/li\u003e\n\u003cli\u003eCreating a Regression Plot\u003c\/li\u003e\n\u003cli\u003eVariables That Take Discrete Values\u003c\/li\u003e\n\u003cli\u003eUsing a Representative value\u003c\/li\u003e\n\u003cli\u003eSquarify\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Plotting geospatial data with Geoplotlib\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGeoplotlib\u003c\/li\u003e\n\u003cli\u003eInput and Output\u003c\/li\u003e\n\u003cli\u003eInteraction\u003c\/li\u003e\n\u003cli\u003eThe dot Visualization\u003c\/li\u003e\n\u003cli\u003eZooming\u003c\/li\u003e\n\u003cli\u003e2D Histogram\u003c\/li\u003e\n\u003cli\u003eHeat Map\u003c\/li\u003e\n\u003cli\u003eVoronoi Tessellation\u003c\/li\u003e\n\u003cli\u003eSeed Points\u003c\/li\u003e\n\u003cli\u003eDelaunay Triangulation\u003c\/li\u003e\n\u003cli\u003e\u003cabbr title=\"Geographic JavaScript Object Notation\"\u003eGeoJSON\u003c\/abbr\u003e\u003c\/li\u003e\n\u003cli\u003eAdding Color and Tooltips\u003c\/li\u003e\n\u003cli\u003eTile Providers\u003c\/li\u003e\n\u003cli\u003eThe DarkMatter Tiles\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Adding interaction with Bokeh\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn about:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eHow Bokeh Works\u003c\/li\u003e\n\u003cli\u003eBokeh Server\u003c\/li\u003e\n\u003cli\u003eProgramming Interfaces\u003c\/li\u003e\n\u003cli\u003eThe Bokeh Models\u003c\/li\u003e\n\u003cli\u003eGlyphs, Plots, and Layouts\u003c\/li\u003e\n\u003cli\u003eThe bokeh.plotting Interface\u003c\/li\u003e\n\u003cli\u003eSome Glyph Methods on the Figure Object\u003c\/li\u003e\n\u003cli\u003eWidgets in Bokeh\u003c\/li\u003e\n\u003cli\u003eUsing Bokeh Server\u003c\/li\u003e\n\u003cli\u003eSetting Up the Widgets\u003c\/li\u003e\n\u003cli\u003eThe TextField Widget\u003c\/li\u003e\n\u003cli\u003eThe Other Widgets\u003c\/li\u003e\n\u003cli\u003eRunning Bokeh Server\u003c\/li\u003e\n\u003cli\u003eWidgets Using CustomJS\u003c\/li\u003e\n\u003cli\u003eWidgets with ipwidgets\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"26BA94US \/ 2026-11-18T09:00:00 \/ Herndon, VA","offer_id":44748325453960,"sku":"US-1274-IL","price":1844.0,"currency_code":"USD","in_stock":true},{"title":"272A63US \/ 2027-02-03T09:00:00 \/ Herndon, VA","offer_id":44748325486728,"sku":"US-1274-IL","price":1844.0,"currency_code":"USD","in_stock":true},{"title":"275A87US \/ 2027-05-05T09:00:00 \/ Herndon, VA","offer_id":45113617612936,"sku":"US-1274-IL","price":1844.0,"currency_code":"USD","in_stock":true}]},{"product_id":"microsoft-azure-ai-fundamentals-training-ai-900","title":"Introduction to AI in Azure (AI-901)","description":"\u003cdiv\u003e\u003cp\u003eThis course introduces core concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eIntroduction to AI in Azure (AI-901) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eIn this course, you will:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGain a solid foundation in AI concepts including machine learning, NLP, computer vision, and generative AI.\u003c\/li\u003e\n\u003cli\u003eLearn hands-on with Azure AI Foundry to build and test intelligent applications.\u003c\/li\u003e\n\u003cli\u003eUnderstand real-world applications of AI such as text analysis, speech recognition, image analysis, and information extraction.\u003c\/li\u003e\n\u003cli\u003eExplore responsible AI practices to design solutions that are ethical and trustworthy.\u003c\/li\u003e\n\u003cli\u003ePrepare for more advanced AI projects by establishing a strong base in both theory and Azure tools.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites:\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003ePrerequisite certification is not required before taking this course. However, successful Azure AI Fundamental students start with essential knowledge of computing and internet concepts and an interest in using Azure AI services.\u003c\/p\u003e\n\u003cp\u003eBefore taking this course, students should have:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExperience using computers and the internet.\u003c\/li\u003e\n\u003cli\u003eInterest in use cases for AI applications and machine learning models.\u003c\/li\u003e\n\u003cli\u003eA willingness to learn through hands-on exploration.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eExam Information:\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThis course can help you prepare for the following Microsoft role-based certification exam — \u003ca href=\"https:\/\/docs.microsoft.com\/en-us\/learn\/certifications\/exams\/ai-900\" title=\"Exam AI-901: Microsoft Certified: Azure AI Fundamentals\" target=\"_blank\" rel=\"nofollow noopener\"\u003eExam AI-901: Microsoft Certified: Azure AI Fundamentals\u003c\/a\u003e.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eIntroduction to AI in Azure Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003eChapter 1: Introduction to AI Concepts\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eExplore core AI topics including generative AI, computer vision, speech, natural language processing, and responsible AI.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 2: Introduction to Machine Learning Concepts\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstand machine learning types, regression, classification, clustering, deep learning, and transformers.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 3: Get Started with Machine Learning in Azure\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eLearn to define problems, prepare data, train models, and use Azure Machine Learning Studio.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 4: Introduction to Generative AI Concepts\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eDiscover how language models and transformers generate original content and apply responsible practices.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 5: Get Started with Generative AI in Azure\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUse Azure AI Foundry’s tools, model catalog, and playgrounds to build generative AI apps.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 6: Introduction to Natural Language Processing Concepts\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eLearn the fundamentals of NLP, from statistical techniques to semantic models.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 7: Get Started with Natural Language Processing in Azure\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eApply Azure AI Language services for sentiment analysis, conversational AI, and translation.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 8: Get Started with Speech in Azure\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eRecognize and synthesize speech with Azure AI Speech services.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 9: Introduction to Computer Vision Concepts\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eExplore image processing, modern vision models, and machine learning for vision.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 10: Get Started with Computer Vision in Azure\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUse Azure AI Vision services to analyze images and detect faces.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 11: Introduction to AI-Powered Information Extraction Concepts\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstand how to extract data from images, forms, and multimodal sources.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eChapter 12: Get Started with AI-Powered Information Extraction in Azure\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUse Azure AI services to extract insights, build knowledge mining solutions, and analyze documents.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"26AA17US \/ 2026-10-01T09:00:00 \/ Online","offer_id":44328347435144,"sku":"US-8580-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"26AA42CN \/ 2026-10-26T09:00:00 \/ Online","offer_id":44748286230664,"sku":"US-8580-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"26BB37US \/ 2026-11-10T09:00:00 \/ Online","offer_id":44748286263432,"sku":"US-8580-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"26BB38US \/ 2026-11-24T09:00:00 \/ 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security, and networking. Dive into hands-on practices for configuring and fortifying storage systems, including creating accounts, managing blob containers, file shares, and bolstering storage security. Ideal for those aiming to advance their IT capabilities.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eSecure storage for Azure Files and Azure Blob Storage (AZ-1003) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eIn this course, you will learn how to:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLearn how to create and configure storage accounts efficiently.\u003c\/li\u003e\n\u003cli\u003eGain the expertise to set up and manage blob storage effectively.\u003c\/li\u003e\n\u003cli\u003eMaster the creation and configuration of files and storage networking for optimal performance.\u003c\/li\u003e\n\u003cli\u003eAcquire knowledge on implementing encryption practices and ensuring secure application access within storage systems.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eTraining Prerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExperience using the Azure portal to create resources.\u003c\/li\u003e\n\u003cli\u003eBasic knowledge of unstructured data like blobs and files.\u003c\/li\u003e\n\u003cli\u003eBasic knowledge of security concepts like identities, permissions, and encryption.\u003c\/li\u003e\n\u003cli\u003eBasic knowledge of networking concepts like virtual networks and subnetting.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAzure Files and Azure Blob Storage Security Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eCreate and configure a storage account\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eConfigure the appropriate storage account tier (standard versus premium)\u003c\/li\u003e\n\u003cli\u003eConfigure redundancy settings\u003c\/li\u003e\n\u003cli\u003eConfigure secure transfer and TLS version\u003c\/li\u003e\n\u003cli\u003eConfigure replication\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eCreate and configure Blob Storage\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCreate a Blob Storage container\u003c\/li\u003e\n\u003cli\u003eConfigure access level for Blob Storage\u003c\/li\u003e\n\u003cli\u003eConfigure the Blob Storage tiers​\u003c\/li\u003e\n\u003cli\u003eConfigure lifecycle management\u003c\/li\u003e\n\u003cli\u003eConfigure data protection for Blob Storage\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eCreate and configure Azure Files\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCreate an Azure Files share\u003c\/li\u003e\n\u003cli\u003eConfigure performance tiers​\u003c\/li\u003e\n\u003cli\u003eConfigure data protection for Azure Files \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eConfigure networking​ for storage\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCreate and configure private endpoints\u003c\/li\u003e\n\u003cli\u003eCreate and configure service endpoints\u003c\/li\u003e\n\u003cli\u003eConfigure Azure Storage firewalls and virtual networks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eConfigure encryption for storage\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eConfigure encryption for data at rest, including Microsoft-managed keys and customer-managed keys\u003c\/li\u003e\n\u003cli\u003eConfigure encryption for data in transit\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"271B81US \/ 2027-01-21T09:00:00 \/ Online","offer_id":44748310053000,"sku":"US-8683-IL","price":488.0,"currency_code":"USD","in_stock":true}]},{"product_id":"implement-security-through-a-pipeline-using-azure-devops-az-2001","title":"Implement security through a pipeline using Azure DevOps (AZ-2001)","description":"\u003cdiv\u003e\n\u003cp\u003eThis course acts as a pivotal step from foundational to intermediate IT skills, essential for roles in development, infrastructure, and security. 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enrich, and serve data for analytics consumers, including data analysts, report developers, and AI agents. The course covers end-to-end analytics in Microsoft Fabric, including OneLake, lakehouses, data warehouses, Real-Time Intelligence, Dataflows Gen2, notebooks, T-SQL, semantic models, Fabric IQ, ontologies, security, governance, and analytics lifecycle management.\u003c\/p\u003e\r\n\u003cp\u003eThis course also helps prepare learners for the Microsoft Certified: Fabric Analytics Engineer Associate certification exam.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eMicrosoft Fabric Analytics Engineer (DP-600) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn This Course, You Will Learn How To\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e•    Use Microsoft Fabric to support end-to-end enterprise analytics solutions\u003cbr\u003e•    Discover, connect to, and manage data using OneLake\u003cbr\u003e•    Create and work with lakehouses, warehouses, and eventhouses\u003cbr\u003e•    Choose the right Fabric data store for different analytics scenarios\u003cbr\u003e•    Transform data using Dataflows Gen2, notebooks, Spark SQL, PySpark, and T-SQL\u003cbr\u003e•    Design dimensional models for analytics workloads\u003cbr\u003e•    Create DAX calculations in Power BI semantic models\u003cbr\u003e•    Design, optimize, secure, and manage semantic models at scale\u003cbr\u003e•    Prepare semantic models and gold layers for AI, Copilot, data agents, and enterprise ontologies\u003cbr\u003e•    Understand Microsoft Fabric IQ and create ontologies\u003cbr\u003e•    Secure data access across Microsoft Fabric workspaces, items, warehouses, and semantic models\u003cbr\u003e•    Apply governance practices such as data classification, sensitivity labels, endorsement, and documentation\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eTraining Prerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eWhile there are no required prerequisites for taking this course, students should have experience with data modeling, data transformation, and analytics.\u003c\/p\u003e\n\u003cp\u003eRecommended experience includes:\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eTranslating business requirements into analytical measures\u003c\/li\u003e\n\u003cli\u003eWorking with SQL or DAX\u003c\/li\u003e\n\u003cli\u003eBuilding semantic models and reports in Power BI\u003c\/li\u003e\n\u003cli\u003eUnderstanding core data analytics concepts\u003c\/li\u003e\n\u003cli\u003eFamiliarity with KQL and Python is helpful, but not required\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eMicrosoft Fabric Analytics Engineer (DP-600) Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eCourse Outline\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eIntroduction to end-to-end analytics using Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eDiscover how Microsoft Fabric can meet your enterprise's analytics needs in one platform. Learn about Microsoft Fabric, how it works, and identify how you can use it for your analytics needs.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eExplore end-to-end analytics with Microsoft Fabric\u003c\/li\u003e\n\u003cli\u003eExplore data teams and Microsoft Fabric\u003c\/li\u003e\n\u003cli\u003eEnable and use Microsoft Fabric\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eDiscover and connect to data in OneLake\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eBrowse and connect to data using Microsoft OneLake's unified storage. Discover data across workspaces with the OneLake catalog, create shortcuts to reference existing data, and explore streaming sources in Real-Time hub.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstand OneLake\u003c\/li\u003e\n\u003cli\u003eBrowse and connect to data in OneLake\u003c\/li\u003e\n\u003cli\u003eDiscover streaming data in Real-Time hub\u003c\/li\u003e\n\u003cli\u003eExercise: Discover and connect to data in OneLake\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eGet started with lakehouses in Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eLakehouses in Microsoft Fabric combine data lake storage flexibility with data warehouse analytical capabilities. Learn how to create a lakehouse, ingest and transform data, and query data with SQL and Spark.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eDescribe lakehouse features and capabilities\u003c\/li\u003e\n\u003cli\u003eIngest and transform data in a lakehouse\u003c\/li\u003e\n\u003cli\u003eQuery and analyze lakehouse data\u003c\/li\u003e\n\u003cli\u003eExercise: Create a Microsoft Fabric lakehouse\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eGet started with data warehouses in Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eUnderstand what a Fabric data warehouse is, why it provides full T-SQL transactional capabilities, and how to create, query, and transform data for analytics.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstand data warehouses\u003c\/li\u003e\n\u003cli\u003eUnderstand data warehouses in Fabric\u003c\/li\u003e\n\u003cli\u003eQuery and transform data\u003c\/li\u003e\n\u003cli\u003eModel data in a warehouse\u003c\/li\u003e\n\u003cli\u003eSecure and monitor a warehouse\u003c\/li\u003e\n\u003cli\u003eExercise: Create and query a warehouse\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eGet started with Real-Time Intelligence in Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eReal-Time Intelligence in Microsoft Fabric helps you ingest, process, store, visualize, and act on data in motion to get insights from events as they happen.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eWhat is real-time data analytics?\u003c\/li\u003e\n\u003cli\u003eReal-Time Intelligence in Microsoft Fabric\u003c\/li\u003e\n\u003cli\u003eIngest and transform real-time data\u003c\/li\u003e\n\u003cli\u003eStore and query real-time data\u003c\/li\u003e\n\u003cli\u003eVisualize real-time data\u003c\/li\u003e\n\u003cli\u003eAutomate actions\u003c\/li\u003e\n\u003cli\u003eExercise: Get started with Real-Time Intelligence in Microsoft Fabric\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eChoose data stores in Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eEvaluate lakehouse, warehouse, and eventhouse options to select the appropriate analytical data store for business scenarios in Microsoft Fabric.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eDescribe analytical data store options\u003c\/li\u003e\n\u003cli\u003eEvaluate lakehouse capabilities\u003c\/li\u003e\n\u003cli\u003eEvaluate warehouse capabilities\u003c\/li\u003e\n\u003cli\u003eEvaluate eventhouse capabilities\u003c\/li\u003e\n\u003cli\u003eCase study: Choose data stores for an integrated analytics solution\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eDesign dimensional models for analytics in Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eLearn dimensional schema types, fact and dimension table design, and slowly changing dimension patterns for analytics workloads in Microsoft Fabric.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eDescribe dimensional schema types\u003c\/li\u003e\n\u003cli\u003eDesign fact tables\u003c\/li\u003e\n\u003cli\u003eDesign dimension tables\u003c\/li\u003e\n\u003cli\u003eImplement slowly changing dimensions\u003c\/li\u003e\n\u003cli\u003eExercise: Design and implement a dimensional model\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eTransform data using Dataflows Gen2 in Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eApply low-code transformations using Power Query in Dataflows Gen2 to prepare analytical data for downstream consumption.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstand Dataflows Gen2\u003c\/li\u003e\n\u003cli\u003eTransform data with Power Query\u003c\/li\u003e\n\u003cli\u003eOptimize Dataflows Gen2 performance\u003c\/li\u003e\n\u003cli\u003eExercise: Transform data with Dataflows Gen2\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eTransform data using notebooks in Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eUse Fabric notebooks to transform data with Spark SQL and PySpark, connecting to lakehouses, warehouses, and other data stores.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eDescribe notebooks in Fabric\u003c\/li\u003e\n\u003cli\u003eShape and clean data\u003c\/li\u003e\n\u003cli\u003eCombine and aggregate data\u003c\/li\u003e\n\u003cli\u003eWrite and size Delta tables\u003c\/li\u003e\n\u003cli\u003eExercise: Transform data with notebooks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eTransform data using T-SQL in Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eUse T-SQL in Microsoft Fabric warehouses to transform and query data, create reusable views and stored procedures, and build dimensional tables.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eTransform data with T-SQL queries\u003c\/li\u003e\n\u003cli\u003eCreate views for reusable logic\u003c\/li\u003e\n\u003cli\u003eBuild stored procedures\u003c\/li\u003e\n\u003cli\u003eImplement dimensional tables\u003c\/li\u003e\n\u003cli\u003eExercise: Transform data with T-SQL\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eCreate DAX calculations in semantic models\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eAdding DAX calculations to Power BI semantic models allows you to define custom logic within your data model, enabling deeper analysis and data-driven business decisions.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eCreate calculated tables\u003c\/li\u003e\n\u003cli\u003eCreate calculated columns\u003c\/li\u003e\n\u003cli\u003eUnderstand implicit measures\u003c\/li\u003e\n\u003cli\u003eCreate explicit measures\u003c\/li\u003e\n\u003cli\u003eUse iterator functions\u003c\/li\u003e\n\u003cli\u003eExercise: Create DAX calculations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eDesign semantic models for scale in Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eDesign semantic models for scale in Microsoft Fabric. Choose the right storage mode, design star schema relationships for clarity and performance, create scalable calculation patterns, and configure settings that support large datasets and concurrent consumption.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eChoose a storage mode\u003c\/li\u003e\n\u003cli\u003eDesign star schema for semantic models\u003c\/li\u003e\n\u003cli\u003eDesign scalable calculations\u003c\/li\u003e\n\u003cli\u003eConfigure settings for scale\u003c\/li\u003e\n\u003cli\u003eExercise: Design a semantic model for scale in Fabric\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eOptimize semantic model performance\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eDiagnose and fix semantic model and report performance issues. Use Performance analyzer to identify bottlenecks, optimize DAX calculations, reduce cardinality, and implement aggregations to improve query speed.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUse Performance analyzer to diagnose issues\u003c\/li\u003e\n\u003cli\u003eOptimize DAX calculations\u003c\/li\u003e\n\u003cli\u003eReduce cardinality for better performance\u003c\/li\u003e\n\u003cli\u003eImplement aggregations\u003c\/li\u003e\n\u003cli\u003eTroubleshoot common performance issues\u003c\/li\u003e\n\u003cli\u003eExercise: Diagnose and fix a slow report\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eEnforce semantic model security\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eImplement row-level security, object-level security, and dynamic security patterns to protect sensitive data in semantic models while enabling appropriate access for different user groups.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eImplement row-level security\u003c\/li\u003e\n\u003cli\u003eApply object-level security\u003c\/li\u003e\n\u003cli\u003eTest security and manage roles\u003c\/li\u003e\n\u003cli\u003eExercise: Implement RLS for a semantic model\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eManage the semantic model development lifecycle\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eManage semantic models through their full development lifecycle. Create reusable assets, version-control with Git, inspect and validate with the XMLA endpoint and SemPy, deploy through pipelines, and maintain with monitoring and impact analysis.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eCreate reusable Power BI assets\u003c\/li\u003e\n\u003cli\u003eManage Power BI content in version control\u003c\/li\u003e\n\u003cli\u003eManage semantic models with the XMLA endpoint\u003c\/li\u003e\n\u003cli\u003eDeploy content through stages\u003c\/li\u003e\n\u003cli\u003eMaintain and monitor semantic models\u003c\/li\u003e\n\u003cli\u003eExercise: Manage semantic models through their lifecycle\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003ePrepare the semantic layer for AI in Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eDesign gold layers, semantic models, and documentation that enable Copilot, data agents, and enterprise ontologies to deliver accurate, business-relevant insights.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstand what AI needs from your data\u003c\/li\u003e\n\u003cli\u003eDesign gold layers with AI in mind\u003c\/li\u003e\n\u003cli\u003ePrepare a semantic model for AI\u003c\/li\u003e\n\u003cli\u003eFrom semantic models to enterprise ontology\u003c\/li\u003e\n\u003cli\u003eValidate AI readiness\u003c\/li\u003e\n\u003cli\u003eExercise: Prepare a semantic model for AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eUnderstand Microsoft Fabric IQ fundamentals\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eMicrosoft Fabric IQ provides a way to define business vocabulary in an ontology and bind the ontology to data sources. Learn about ontology items, data agents, Graph in Microsoft Fabric, and Power BI semantic models. Discover how ontology modeling differs from traditional analytical modeling by starting with business concepts rather than specific use cases.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eGet started with Fabric IQ\u003c\/li\u003e\n\u003cli\u003eExplore Microsoft Fabric IQ components\u003c\/li\u003e\n\u003cli\u003eUnderstand the ontology modeling paradigm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eCreate an ontology with Fabric IQ\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eOntologies in Fabric IQ transform your data into a business vocabulary that everyone can understand. Learn two ways to create ontologies: building manually to understand the core components, or generating automatically from Power BI semantic models to accelerate development. Practice both approaches and learn how to connect your ontology to data sources in OneLake, including lakehouse tables and eventhouse streams.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eChoose an ontology creation approach\u003c\/li\u003e\n\u003cli\u003eBuild an ontology manually\u003c\/li\u003e\n\u003cli\u003eGenerate an ontology from a Power BI semantic model\u003c\/li\u003e\n\u003cli\u003eConnect an ontology to data\u003c\/li\u003e\n\u003cli\u003eConfigure ontology relationships\u003c\/li\u003e\n\u003cli\u003ePreview the ontology\u003c\/li\u003e\n\u003cli\u003eExercise: Build an ontology manually\u003c\/li\u003e\n\u003cli\u003eExercise: Generate an ontology from a Power BI semantic model\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eSecure data access in Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eImplement workspace roles, item permissions, and OneLake security roles to control data access in Microsoft Fabric.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUnderstand the Fabric security model\u003c\/li\u003e\n\u003cli\u003eConfigure workspace and item permissions\u003c\/li\u003e\n\u003cli\u003eApply granular permissions\u003c\/li\u003e\n\u003cli\u003eExercise: Secure data access in Microsoft Fabric\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eSecure a Microsoft Fabric data warehouse\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eLearn how to protect sensitive data in a Microsoft Fabric warehouse using dynamic data masking, row-level security, column-level security, and SQL granular permissions.\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eExplore dynamic data masking\u003c\/li\u003e\n\u003cli\u003eImplement row-level security\u003c\/li\u003e\n\u003cli\u003eImplement column-level security\u003c\/li\u003e\n\u003cli\u003eConfigure SQL granular permissions using T-SQL\u003c\/li\u003e\n\u003cli\u003eExercise: Secure a warehouse in Microsoft Fabric\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eGovern analytics data in Microsoft Fabric\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eImplement Fabric-native governance practices including data classification, sensitivity labels, endorsement, and documentation. Ensure data assets are trustworthy and governed for both human and AI consumption.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli style=\"list-style-type: none;\"\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eClassify and protect data in Microsoft Fabric\u003c\/li\u003e\n\u003cli\u003eEndorse and document data assets\u003c\/li\u003e\n\u003cli\u003eGovern data for AI consumption\u003c\/li\u003e\n\u003cli\u003eExercise: Govern analytics data in Microsoft Fabric\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cul\u003e\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"269A74CN \/ 2026-09-01T09:00:00 \/ Online","offer_id":44748325224584,"sku":"US-8692-IL","price":2080.0,"currency_code":"USD","in_stock":true},{"title":"26AB56US \/ 2026-10-27T09:00:00 \/ Herndon, VA","offer_id":44748325257352,"sku":"US-8692-IL","price":2080.0,"currency_code":"USD","in_stock":true},{"title":"26CA11CN \/ 2026-12-01T09:00:00 \/ Ottawa","offer_id":44748325290120,"sku":"US-8692-IL","price":2080.0,"currency_code":"USD","in_stock":true},{"title":"272B30US \/ 2027-02-02T09:00:00 \/ Herndon, VA","offer_id":44748325355656,"sku":"US-8692-IL","price":2080.0,"currency_code":"USD","in_stock":true},{"title":"273A11CN \/ 2027-03-02T09:00:00 \/ Ottawa","offer_id":44851681230984,"sku":"US-8692-IL","price":2080.0,"currency_code":"USD","in_stock":true},{"title":"275B79US \/ 2027-05-04T09:00:00 \/ Herndon, VA","offer_id":45100012011656,"sku":"US-8692-IL","price":2080.0,"currency_code":"USD","in_stock":true},{"title":"276A14CN \/ 2027-06-01T09:00:00 \/ Ottawa","offer_id":45917605134472,"sku":"US-8692-IL","price":2080.0,"currency_code":"USD","in_stock":true}]},{"product_id":"implement-a-data-warehouse-with-microsoft-fabric-dp-602","title":"Implement a Data Warehouse with Microsoft Fabric (DP-602)","description":"\u003cdiv\u003e\u003cp\u003eExplore the data warehousing process within Microsoft Fabric in this comprehensive 1-day course. You'll learn to load, monitor, and query a data warehouse efficiently, leveraging Microsoft Fabric's robust features.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eImplement a Data Warehouse with Microsoft Fabric (DP-602) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will learn how to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGet started with data warehouses in Microsoft Fabric.\u003c\/li\u003e\n\u003cli\u003eLoad data into a Microsoft Fabric data warehouse.\u003c\/li\u003e\n\u003cli\u003eQuery a data warehouse in Microsoft Fabric.\u003c\/li\u003e\n\u003cli\u003eMonitor a Microsoft Fabric data warehouse.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFamiliarity with data modeling, data transformation, and exploratory data analytics.\u003c\/li\u003e\n\u003cli\u003eAbility to query and change data using T-SQL.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCertification Information\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThis course does not directly prepare you for a certification exam but is part of Microsoft's applied skills program, enhancing data engineering competencies.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eDP-602 Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eIntroduction to Data Warehouses in Microsoft Fabric\u003c\/h4\u003e\n\u003cp\u003eUnderstand the fundamentals of data warehouses and their role in Microsoft Fabric for analytical purposes.\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLoad Data into a Microsoft Fabric Data Warehouse\u003c\/h4\u003e\n\u003cp\u003eExplore strategies for loading data into a data warehouse in Microsoft Fabric, utilizing data pipelines, T-SQL, and Dataflow Gen for efficient data management.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eQuery a Data Warehouse in Microsoft Fabric\u003c\/h4\u003e\n\u003cp\u003eLearn to query data warehouses in Microsoft Fabric using SQL query editors, visual query editors, and client tools for effective data analysis and retrieval.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eMonitor a Microsoft Fabric Data Warehouse\u003c\/h4\u003e\n\u003cp\u003eDiscover how to monitor capacity metrics, current activity, and queries in a Microsoft Fabric data warehouse to ensure efficient operation and performance optimization.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"26AB57US \/ 2026-10-19T09:00:00 \/ Online","offer_id":44748312739976,"sku":"US-8703-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"274B51US \/ 2027-04-22T09:00:00 \/ Online","offer_id":45062725632136,"sku":"US-8703-IL","price":488.0,"currency_code":"USD","in_stock":true}]},{"product_id":"developing-data-models-with-lookml","title":"Developing Data Models with LookML","description":"\u003cdiv\u003e\u003cp\u003eThis course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eDeveloping Data Models with LookML Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003eImportant Course Information:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDefine LookML basic terms and building blocks.\u003c\/li\u003e\n\u003cli\u003eModify LookML projects using the Looker Integrated Development Environment (IDE) and project version control.\u003c\/li\u003e\n\u003cli\u003eCreate dimensions and measures to curate data attributes used by business users.\u003c\/li\u003e\n\u003cli\u003eCreate and design Explores to make data accessible to business users.\u003c\/li\u003e\n\u003cli\u003eCreate new tables instantaneously using derived tables.\u003c\/li\u003e\n\u003cli\u003eOptimize SQL query performance using caching and datagroups in Looker.\u003cb\u003e \u003c\/b\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eTo get the most out of this course, participants should have a basic understanding of SQL, Git, and the Looker business user experience. For learners with no previous experience as data explorers in Looker, it is recommended to first complete Analyzing and Visualizing Data in Looker.\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eDeveloping Data Models with LookML Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 1) Introduction to Looker and LookML\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDefine Looker and the functionality it provides for curating data.\u003c\/li\u003e\n\u003cli\u003eDefine LookML basic terms and building blocks.\u003c\/li\u003e\n\u003cli\u003eDiscuss how to modify LookML projects using the Looker Integrated Development Environment (IDE)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 2) Creating Dimensions and Measures\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCreate dimensions and measures to curate data attributes used by business users.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 3) Project Version Control\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDiscuss how to implement version control with Git to manage and track changes in LookML projects.\u003c\/li\u003e\n\u003cli\u003eExplain how to send LookML changes from a development branch to production.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 4) Model Files\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExplain how Looker utilizes SQL on the back end to translate user requests to query results.\u003c\/li\u003e\n\u003cli\u003eDescribe how to create and design Explores to make data accessible to business users.\u003c\/li\u003e\n\u003cli\u003eIdentify join parameters that can be used to establish relationships between data tables.\u003c\/li\u003e\n\u003cli\u003eDescribe how to implement filters to preselect data provided to business users.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 5) Derived Tables\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDefine the two types of derived tables in Looker.\u003c\/li\u003e\n\u003cli\u003eCreate ephemeral and persistent derived tables.\u003c\/li\u003e\n\u003cli\u003eList best practices for creating derived tables.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 6) Caching and Data Groups\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExplain how Looker uses caching to optimize SQL query performance.\u003c\/li\u003e\n\u003cli\u003eDescribe how datagroups manage caching policies in Looker.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"271C35US \/ 2027-01-19T09:00:00 \/ Online","offer_id":44748323422344,"sku":"US-1468-IL","price":488.0,"currency_code":"USD","in_stock":true}]},{"product_id":"introduction-to-jupyter-hands-on","title":"Mastering Jupyter Notebooks","description":"\u003cdiv\u003e\n\u003cp\u003eJupyter Notebooks is a powerful, open-source tool that allows you to write, execute, and document code in an interactive environment. It is perfect for data science, analysis, machine learning, and research. Whether you're a developer, analyst, student, or educator, mastering Jupyter will transform your workflow. \u003c\/p\u003e\r\n\u003cp\u003eIn this hands-on course, you’ll learn how to set up, navigate, and optimize Jupyter for efficient coding and data exploration. You'll work with Python, pandas, matplotlib, and seaborn to analyze and visualize data, use magic commands for efficiency, and explore advanced features like automation with papermill and interactive widgets. Plus, you'll discover how to share and deploy notebooks using GitHub and Google Colab. \u003c\/p\u003e\r\n\u003cp\u003eWith practical exercises and best practices, this course ensures you master notebook organization, performance optimization, and collaboration.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eMastering Jupyter Notebooks Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAfter finishing this course, you will be able to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSet up and navigate Jupyter Notebook and JupyterLab.\u003c\/li\u003e\n\u003cli\u003eWrite and execute Python code, manage cells, and use magic commands.\u003c\/li\u003e\n\u003cli\u003eWork with data, including importing, visualizing, and analyzing it using Python libraries.\u003c\/li\u003e\n\u003cli\u003eLeverage advanced Jupyter features, such as shell commands, automation with papermill, and interactive widgets.\u003c\/li\u003e\n\u003cli\u003eCollaborate and share notebooks.\u003c\/li\u003e\n\u003cli\u003eDeploy Jupyter Notebooks on cloud platforms like Google Colab for accessibility and scalability.\u003c\/li\u003e\n\u003cli\u003eCreate notebooks and experiment with markdown cells and different kernels.\u003c\/li\u003e\n\u003cli\u003eLoad and analyz a dataset.\u003c\/li\u003e\n\u003cli\u003eUse ipywidgets to build an interactive data visualization.\u003c\/li\u003e\n\u003cli\u003eExport a notebook in HTML and PDF.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eThis course provides guidance to help attendees overcome these challenges:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eInefficient Workflow\u003c\/strong\u003e – Difficulty organizing notebooks, managing code execution, and structuring projects for better readability and performance\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLimited Understanding of Jupyter Features\u003c\/strong\u003e – Many users only scratch the surface, missing out on powerful features like magic commands, interactive widgets, and automation with papermill\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eData Handling Challenges\u003c\/strong\u003e – Loading, cleaning, and visualizing data efficiently in Jupyter can be overwhelming without structured guidance\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCollaboration \u0026amp; Sharing Issues\u003c\/strong\u003e – Struggling to share notebooks effectively, use version control with GitHub, or deploy notebooks for remote access\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePerformance \u0026amp; Scalability Problems\u003c\/strong\u003e – Running into slow execution times, memory overload, or difficulty deploying notebooks to cloud platforms like Google Colab\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBest Practices for Reproducibility\u003c\/strong\u003e – Many users create cluttered notebooks that are hard to maintain, debug, or reuse later\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNo advanced programming knowledge is required, but familiarity with Python and basic data handling will be beneficial.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eMastering Jupyter Notebooks Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eChapter 1: Introduction to Jupyter Notebooks\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eWhat is Jupyter?\u003c\/li\u003e\n\u003cli\u003eInstallation \u0026amp; Setup (Anaconda vs. pip)\u003c\/li\u003e\n\u003cli\u003eNavigating the Jupyter Interface\u003c\/li\u003e\n\u003cli\u003eJupyterLab vs. Jupyter Notebook\u003c\/li\u003e\n\u003cli\u003eCreating \u0026amp; Managing Notebooks\u003c\/li\u003e\n\u003cli\u003eJupyter Kernels\u003c\/li\u003e\n\u003cli\u003eMarkdown Basics for Documentation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eChapter 2: Python and Jupyter Fundamentals\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eRunning Python Code in Jupyter\u003c\/li\u003e\n\u003cli\u003eUnderstanding Cells: Code vs. Markdown\u003c\/li\u003e\n\u003cli\u003eUsing Magic Commands (%timeit, %matplotlib inline, etc.)\u003c\/li\u003e\n\u003cli\u003eImporting Libraries and Data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eLoading and Displaying Data (pandas, numpy)\u003c\/li\u003e\n\u003cli\u003eData Visualization (matplotlib, seaborn)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eChapter 3: Advanced Jupyter Features\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eRunning Shell Commands in Jupyter\u003c\/li\u003e\n\u003cli\u003eCreating and Using Custom Functions \u0026amp; Modules\u003c\/li\u003e\n\u003cli\u003eAutomating Workflows with Jupyter (\u003ca href=\"https:\/\/papermill.readthedocs.io\/en\/latest\/extending-overview.html\" rel=\"nofollow noopener\" target=\"_blank\"\u003epapermill\u003c\/a\u003e)  \u003c\/li\u003e\n\u003cli\u003eInteractive Widgets (ipywidgets)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eChapter 4: Jupyter for Collaboration \u0026amp; Deployment\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eSharing Results with Notebooks\u003c\/li\u003e\n\u003cli\u003eExporting Notebooks (HTML, PDF, Markdown)\u003c\/li\u003e\n\u003cli\u003eSharing Notebooks with GitHub\u003c\/li\u003e\n\u003cli\u003eUsing JupyterHub for Team Collaboration\u003c\/li\u003e\n\u003cli\u003eDeploying Notebooks on Cloud Services (Google Colab, Binder)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eChapter 5: Jupyter Best Practices\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eBest Practices for Efficient Notebook Usage\u003cbr\u003e\u003ca href=\"https:\/\/coderpad.io\/blog\/data-science\/mastering-jupyter-notebooks-best-practices-for-data-science\/\" rel=\"nofollow noopener\" target=\"_blank\"\u003eResource 1\u003c\/a\u003e\u003cbr\u003e\u003ca href=\"https:\/\/medium.com\/towards-data-science\/jupyter-notebook-best-practices-f430a6ba8c69\" rel=\"nofollow noopener\" target=\"_blank\"\u003eResource 2\u003c\/a\u003e \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"26AA27US \/ 2026-10-15T09:00:00 \/ Online","offer_id":44552135475336,"sku":"US-4741-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"274A11US \/ 2027-04-20T09:00:00 \/ Online","offer_id":45059008168072,"sku":"US-4741-IL","price":488.0,"currency_code":"USD","in_stock":true}]},{"product_id":"accelerate-app-development-by-using-github-copilot-az-2007","title":"Accelerate App Development by Using GitHub Copilot (AZ-2007)","description":"\u003cdiv\u003e\u003cp\u003eLearn how to accelerate app development by using GitHub Copilot and GitHub Copilot Chat in a Visual Studio Code environment.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eAccelerate App Development by Using GitHub Copilot (AZ-2007) Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBoost development speed with AI assistance: Accelerate code writing, testing, and documentation tasks using GitHub Copilot and Copilot Chat.\u003c\/li\u003e\n\u003cli\u003eEnhance code quality and maintainability: Use AI-driven suggestions to improve readability, performance, reliability, and security.\u003c\/li\u003e\n\u003cli\u003eGain hands-on, real-world experience: Complete interactive exercises and a guided project that reflect real development scenarios.\u003c\/li\u003e\n\u003cli\u003eMaster GitHub Copilot extensions in Visual Studio Code: Learn to install, configure, and effectively use GitHub Copilot and Copilot Chat within VS Code.\u003c\/li\u003e\n\u003cli\u003eStay competitive with AI-driven development skills: Build modern coding skills that give you an edge in today’s fast-evolving tech landscape.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOne or more years of code development experience is recommended.\u003c\/li\u003e\n\u003cli\u003eSome experience developing C# applications in Visual Studio Code with the C# Dev Kit extension is recommended.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eExam Information\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eN\/A\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eGitHub Copilot for App Dev (AZ-2007) Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eGet Started with GitHub Copilot\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eIntroduction to GitHub Copilot and related AI tools from GitHub, OpenAI, and Microsoft\u003c\/li\u003e\n\u003cli\u003eOverview of GitHub Copilot tools, benefits, and limitations\u003c\/li\u003e\n\u003cli\u003eInstall GitHub Copilot extensions for Visual Studio Code\u003c\/li\u003e\n\u003cli\u003eExplore autocomplete features of the GitHub Copilot extension\u003c\/li\u003e\n\u003cli\u003eExplore AI assistance features of the GitHub Copilot Chat extension\u003c\/li\u003e\n\u003cli\u003eConfigure GitHub Copilot extensions for Visual Studio Code\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eGenerate Documentation Using GitHub Copilot Tools\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eIntroduction to documentation capabilities with GitHub Copilot Chat\u003c\/li\u003e\n\u003cli\u003eUse the “document” and “explain” features\u003c\/li\u003e\n\u003cli\u003eGenerate code explanations\u003c\/li\u003e\n\u003cli\u003eGenerate project documentation\u003c\/li\u003e\n\u003cli\u003eGenerate inline code documentation\u003c\/li\u003e\n\u003cli\u003eComplete a documentation challenge\u003c\/li\u003e\n\u003cli\u003eReview the challenge solution\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDevelop Code Features Using GitHub Copilot Tools\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eOverview of code development features\u003c\/li\u003e\n\u003cli\u003eBest practices when using GitHub Copilot\u003c\/li\u003e\n\u003cli\u003eCreate code using line completions\u003c\/li\u003e\n\u003cli\u003eCreate code using Inline Chat\u003c\/li\u003e\n\u003cli\u003eComplete a \"create new code\" challenge\u003c\/li\u003e\n\u003cli\u003eReview the solution\u003c\/li\u003e\n\u003cli\u003eComplete a \"code logic\" challenge\u003c\/li\u003e\n\u003cli\u003eReview the solution\u003c\/li\u003e\n\u003cli\u003eConvert code between programming languages\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDevelop Unit Tests Using GitHub Copilot Tools\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eOverview of unit testing tools and environment\u003c\/li\u003e\n\u003cli\u003eCreate unit tests using GitHub Copilot Chat\u003c\/li\u003e\n\u003cli\u003eCreate unit tests for specific 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In this course, we discuss challenges with data integration and the need for a data integration platform (middleware). We then discuss how Cloud Data Fusion can help to effectively integrate data from a variety of sources and formats and generate insights. We take a look at Cloud Data Fusion’s main components and how they work, how to process batch data and real time streaming data with visual pipeline design, rich tracking of metadata and data lineage, and how to deploy data pipelines on various execution engines.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eData Integration with Cloud Data Fusion Benefits\u003c\/h3\u003e\n\u003cul\u003e\u003cli\u003e\n\u003cp\u003e\u003cb\u003eImportant Course Information:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentify the need of data integration,\u003c\/li\u003e\n\u003cli\u003eUnderstand the capabilities Cloud Data Fusion provides as a data integration platform,\u003c\/li\u003e\n\u003cli\u003eIdentify use cases for possible implementation with Cloud Data Fusion,\u003c\/li\u003e\n\u003cli\u003e List the core components of Cloud Data Fusion,\u003c\/li\u003e\n\u003cli\u003eDesign and execute batch and real time data processing pipelines,\u003c\/li\u003e\n\u003cli\u003eWork with Wrangler to build data transformations\u003c\/li\u003e\n\u003cli\u003eUse connectors to integrate data from various sources and formats,\u003c\/li\u003e\n\u003cli\u003eConfigure execution environment; Monitor and Troubleshoot pipeline execution,\u003c\/li\u003e\n\u003cli\u003eUnderstand the relationship between metadata and data lineage.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites:\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eTo get the most out of this course, participants are encouraged to have completed “Introduction to Data Engineering”\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eData Integration with Google Cloud Data Fusion Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003eModule 1) Introduction to data integration and Cloud Data Fusion  \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand the need for data integration,\u003c\/li\u003e\n\u003cli\u003eList the situations\/cases where data integration can help businesses,\u003c\/li\u003e\n\u003cli\u003eList the available data integration platforms and tools,\u003c\/li\u003e\n\u003cli\u003eIdentify the challenges with data integration\u003c\/li\u003e\n\u003cli\u003eUnderstand the use of Cloud Data Fusion as a data integration platform\u003c\/li\u003e\n\u003cli\u003eCreate a Cloud Data Fusion instance,\u003c\/li\u003e\n\u003cli\u003eFamiliarize with core framework and major components in Cloud Data Fusion\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eModule 2) Building Pipelines\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand Cloud Data Fusion architecture\u003c\/li\u003e\n\u003cli\u003eDefine what a data pipeline is\u003c\/li\u003e\n\u003cli\u003eUnderstand the DAG representation of a data pipeline,\u003c\/li\u003e\n\u003cli\u003eLearn to use Pipeline Studio and its components\u003c\/li\u003e\n\u003cli\u003eDesign a simple pipeline using Pipeline Studio,\u003c\/li\u003e\n\u003cli\u003eDeploy and execute a pipeline\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eModule 3) Designing complex pipelines\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePerform branching, merging, and join operations.\u003c\/li\u003e\n\u003cli\u003eExecute pipeline with runtime arguments using macros.\u003c\/li\u003e\n\u003cli\u003eWork with error handlers.\u003c\/li\u003e\n\u003cli\u003eExecute pre- and post-pipeline executions with help of actions and notifications.\u003c\/li\u003e\n\u003cli\u003eSchedule pipelines for execution.\u003c\/li\u003e\n\u003cli\u003eImport and export existing pipelines.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eModule 4) Pipeline execution environment\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand the composition of an execution environment.\u003c\/li\u003e\n\u003cli\u003eConfigure your pipeline’s execution environment, logging, and metrics.\u003c\/li\u003e\n\u003cli\u003eUnderstand concepts like compute profile and provisioner.\u003c\/li\u003e\n\u003cli\u003eCreate a compute profile.\u003c\/li\u003e\n\u003cli\u003eCreate pipeline alerts.\u003c\/li\u003e\n\u003cli\u003eMonitor the pipeline under execution.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eModule 5) Building Transformations and Preparing Data with Wrangler\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand the use of Wrangler and its main components.\u003c\/li\u003e\n\u003cli\u003eTransform data using Wrangler UI.\u003c\/li\u003e\n\u003cli\u003eTransform data using directives\/CLI methods.\u003c\/li\u003e\n\u003cli\u003eCreate and use user-defined directives.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eModule 6) Connectors and streaming pipelines\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eConnectors\u003c\/li\u003e\n\u003cli\u003eDLP\u003c\/li\u003e\n\u003cli\u003eReference architecture for streaming applications Building streaming pipelines\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eModule 7) Metadata and data lineage\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eList types of metadata.\u003c\/li\u003e\n\u003cli\u003eDifferentiate between business, technical, and operational metadata.\u003c\/li\u003e\n\u003cli\u003eUnderstand what data lineage is. Understand the importance of maintaining data lineage.\u003c\/li\u003e\n\u003cli\u003eDifferentiate between metadata and data lineage\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"26AC22US \/ 2026-10-19T09:00:00 \/ Herndon, VA","offer_id":44862773690504,"sku":"US-1493-IL","price":1110.0,"currency_code":"USD","in_stock":true},{"title":"26BA61CN \/ 2026-11-30T09:00:00 \/ Ottawa","offer_id":44862773723272,"sku":"US-1493-IL","price":1110.0,"currency_code":"USD","in_stock":true},{"title":"271C66US \/ 2027-01-19T09:00:00 \/ Herndon, VA","offer_id":44862773756040,"sku":"US-1493-IL","price":1110.0,"currency_code":"USD","in_stock":true},{"title":"273A60CN \/ 2027-03-01T09:00:00 \/ Ottawa","offer_id":44862773788808,"sku":"US-1493-IL","price":1110.0,"currency_code":"USD","in_stock":true},{"title":"274C19US \/ 2027-04-19T09:00:00 \/ Herndon, VA","offer_id":45055861751944,"sku":"US-1493-IL","price":1110.0,"currency_code":"USD","in_stock":true},{"title":"276A73CN \/ 2027-06-01T09:00:00 \/ Ottawa","offer_id":45917605429384,"sku":"US-1493-IL","price":1110.0,"currency_code":"USD","in_stock":true}]}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0101\/6528\/9026\/collections\/3cGYHBsaQ0i6qPRTfol5_17e52707-6ad6-4653-8b89-e6919cfd573d.webp?v=1787214882","url":"https:\/\/kpit.learningtree.com\/collections\/data-science-big-data.oembed","provider":"Learning Tree International","version":"1.0","type":"link"}