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Microsoft Power BI Data Analyst (PL-300)
This course will discuss the methods and best practices in line with requirements for analyzing data with Power BI.
This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
After successfully completing the Microsoft Power BI Data Analyst (PL-300) training course, you will be able to:• Ingest, clean, and transform data• Model data for performance and scalability• Design and create reports for data analysis• Apply and perform advanced report analytics• Manage and share report assets• Create paginated reports in Power BI
Module 1: Get Started with Microsoft Data AnalyticsThis module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.LessonsData Analytics and MicrosoftGetting Started with Power BILab : Getting Started in Power BI DesktopGetting StartedModule 2: Prepare Data in Power BIThis module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage and understand the difference and performance implications of connecting directly to data vs. importing it.LessonsGet data from various data sourcesLab : Preparing Data in Power BI DesktopPrepare DataModule 3: Clean, Transform, and Load Data in Power BIThis module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.LessonsData shapingEnhance the data structureData ProfilingLab : Transforming and Loading Data in Power BI DesktopLoading DataModule 4: Design a Data Model in Power BIThis module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.LessonsIntroduction to data modelingWorking with tablesDimensions and HierarchiesLab : Data Modeling in Power BI DesktopCreate Model RelationshipsConfigure TablesReview the model interfaceCreate Quick MeasuresLab : Advanced Data Modeling in Power BI DesktopConfigure many-to-many relationshipsEnforce row-level securityModule 5: Create Model Calculations using DAX in Power BIThis module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.LessonsIntroduction to DAXDAX contextAdvanced DAXLab : Advanced DAX in Power BI DesktopUse the CALCULATE() function to manipulate filter contextUse Time Intelligence functionsLab : Introduction to DAX in Power BI DesktopCreate calculated tablesCreate calculated columnsCreate measuresModule 6: Optimize Model Performance in Power BIIn this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.LessonsOptimze the model for performanceOptimize DirectQuery ModelsCreate and manage AggregationsModule 7: Create Reports in Power BIThis module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered.LessonsDesign a reportEnhance the reportLab : Designing a report in Power BI DesktopCreate a live connection in Power BI DesktopDesign a reportConfigure visual fields and format propertiesLab : Enhancing reports with interaction and formatting in Power BI DesktopCreate and configure Sync SlicersCreate a drillthrough pageApply conditional formattingCreate and use Bookmarks
Module 8: Create Dashboards in Power BIIn this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.LessonsCreate a DashboardReal-time DashboardsEnhance a DashboardLab : Creating a Dashboard in Power BI ServiceCreate a DashboardPin visuals to a DashboardConfigure a Dashboard tile alertUse Q&A to create a dashboard tileModule 9: Enhance reports for usability and storytelling in Power BIThis module will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report.LessonsPaginated report overviewCreate Paginated reportsLab : Creating a Paginated report in Power BI DesktopUse Power BI Report BuilderDesign a multi-page report layoutDefine a data sourceDefine a datasetCreate a report parameterExport a report to PDFModule 10: Perform Advanced Analytics in Power BIThis module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.LessonsAdvanced AnalyticsData Insights through AI visualsLab : Data Analysis in Power BI DesktopCreate animated scatter chartsUse the visual to forecast valuesWork with Decomposition Tree visualWork with the Key Influencers visualModule 11: Manage Datasets in Power BIIn this module you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.LessonsParametersDatasetsSecurity in Power BIModule 12: Create and Manage Workspaces in Power BIThis module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.LessonsCreating WorkspacesSharing and Managing AssetsLab : Publishing and Sharing Power BI ContentMap security principals to dataset rolesShare a dashboardPublish an App
Power BI Data Analyst Associate
Successful Data Analysts start this role with experience of working with data in the cloud.Specifically:Understanding core data concepts.Knowledge of working with relational data in the cloud.Knowledge of working with non-relational data in the cloud.Knowledge of data analysis and visualization concepts.
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