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DA-100 Analyzing Data with Power BI (Formerly 20778)
Learn the various methods and best practices for modeling, visualizing, and analyzing data with Power BI.
Important Update:Microsoft retired course DA-100 as of 03/31/2022. The replacement course is PL-300. To view that outline and upcoming class dates go to: Microsoft Power BI Data Analyst (PL-300).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 you how to access and process data from a range of data sources including both relational and non-relational data. You will also explore how to implement proper security standards and policies across the Power BI spectrum including data-sets and groups. The course also discusses how to manage and deploy reports and dashboards for sharing and content distribution. Finally, you will be shown 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 DA-100 Analyzing Data with Power BI (Formerly 20778) 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: IntroductionThis module explores the landscape of the Power BI portfolio and describes several use cases for Power BI. The course then identifies and describes the role and responsibilities of a Data Analysts.Lessons· The Power BI Portfolio· Identifying Tasks of the Data Analyst· Lab : Getting StartedModule 2: Getting and Profiling DataThis module explores identifying and connecting to different data sources. The student will also learn the basics on how to identify and optimize query performance issues. They will also learn how to perform proper data profiling in preparation for the subsequent step of cleaning and shaping the data prior to loading the data.Lessons· Data Sources· Storage Modes· Query Performance· Data Profiling· Lab : Preparing Data in Power BI Desktop· Prepare DataModule 3: Cleaning and Transforming DataThis module teaches the fundamental concepts of designing a data model for proper performance and scalability. It instills in the student a list of items to think about prior to building the model.Lessons· User-Friendliness· Combining Queries· Data cleaning and transformation· Advanced capabilities· Configuring data loading and resolving errors· Lab : Loading Data in Power BI Desktop· Loading DataModule 4: Designing a Data ModelThis module teaches the fundamental concepts of designing a data model for proper performance and scalability. It instills in the student a list of items to think about prior to building the model.Lessons· Data modeling basics· Measures and Dimensions· Model Performance· Lab : Data Modeling in Power BI Desktop· Create Model Relationships· Configure Tables· Review the model interface· Create Quick MeasuresModule 5: Developing a Data ModelIn this module the student will apply the steps learned in the previous module and build a data model while learning and implementing additional items to create the foundation of the model. The student will be introduced to initial security concepts and the Q&A feature in this module.Lessons· Common data modeling techniques· Adding columns to support the data model· Row-level security· Q&A considerations· Lab : Advanced Data Modeling· Create a man-to-many relationship· Enforce row-level securityModule 6: Creating Model Calculations with DAXThis module first introduces the student to DAX and some of the critical functions and operators necessary to enhance a data model, including the concepts of Measures, and calculated columns and tables, and Time Intelligence.Lessons· Introduction to DAX· Creating tables and columns· Measures· The CALCULATE expression· Time-Intelligence functions· Lab : Using DAX in Power BI - Part 1· Create Calculated tables· Create Measures· Lab : Using DAX in Power BI - Part 2· Work with Filter content· Work with Time-Intelligence· Publish the Power BI Desktop fileModule 7: Optimizing Model PerformanceIn this module the student is introduced to steps, processes, and concepts necessary to optimize a data model for enterprise-level performance.Lessons· Fine-tune the data model· Cardinality· Identifying performance issues
Module 8: Creating ReportsThis module introduces the student to the fundamental concepts and principles of building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality including slicing and filtering. This important topic of designing for accessibility is also covered.Lessons· Selecting a visualization· Configuring visualizations· Formatting pages· Enhancing the report· Lab : Designing a report in Power BI Desktop - Part 1· Create a report· Sign in to the Power BI ServiceModule 9: Enhancing Reports for Usability and PerformanceThis module helps the student think beyond the basics of report building and discusses topics for enhancing the report for usability and performance. The student will leave this module with knowing that a report is not something to just look at, but is a living canvas that tells a story, and should be designed as such.Lessons· Bookmarks and navigation· Designing cohesive pages and interactions· Improving reports· Lab : Designing a report in Power BI Desktop - Part 2· Configure Sync Slicers· Configure Drill-through· Add Conditional Formatting· Add Bookmarks and Buttons· Explore the ReportModule 10: Creating DashboardsIn this module the student learns about dashboards and the many features and functionality they contain. The student learns how to take the report they built in the previous module and pin it to a dashboard, then enhance to dashboard for additional usability and insights.Lessons· Dashboard design· Real-time dashboards· Dashboard enhancements· Lab : Creating a Power BI Dashboard· Create a Dashboard· Refresh the dataset· Review the dashboardModule 11: Enhancing Reports and Applying Advanced AnalyticsThis module helps the student apply additional features to enhance the report for analytical insights in the data, equipping the student with the steps to use the report for actual data analysis. This module will also arm the student with additional steps and concepts to apply and perform advanced analytics on the report for even deeper and meaningful data insights.Lessons· Navigation· Basic analysis· Grouping, binning, and clustering· Analysis over time· Advanced analysis· Lab : Data Analysis in Power BI Desktop· Create a report· Create a Scatter chart· Create a Forecast· Work with a Decomposition Tree· Work with Key InfluencersModule 12: Managing and Sharing Power BI AssetsIn this module the student will learn the concepts of managing Power BI assets, including datasets and workspaces, as well as how to apply role-level security to a dataset. This module teaches the student how to create and manage workspaces, as well as how to share content, including reports and dashboard, and how to distribute an App.Lessons· Dataset management· Enhancing datasets· Configure row-level security· Create and Manage workspaces· Enhancing datasets and reports in the workspace· Sharing and distributing content· Lab : Publishing and Sharing Power BI Content· Configure dataset security· Share a Dashboard· Publish an APPModule 13: Working with Paginated Reports in Power BIThis module will teach the student about paginated reports. The student will learn what they are how they fit into the Power BI spectrum, and then look at how to build and publish a report.Lessons· Introduction to Paginated Reports· Data sources and datasets· Adding visual elements· Enhancing and publishing reports· Lab : Creating a Paginated report· Getting Started· Develop the report
MCSA: SQL 2016 BI Development
This class requires very little prior knowledge beyond a basic familiarity with computers and navigation of the Windows operating system. However, this course is generally most beneficial to people that have a solid understanding of the business processes they will be supporting with Power BI and the data that those processes produce.
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