Introduction to Microsoft Power BI

Learn the methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.Learn how to access and process data from a range of data sources including both relational and non-relational data.Learn how to manage and deploy reports and dashboards for sharing and content distribution.Understand the intersections between Power BI and Microsoft’s enterprise-level data modeling and analysis platform, SQL Server Analysis Services.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. 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. Power BI is a member of the Power Platform. Power Apps is another component that enables everyone to build and use apps that connect to business data. This course will show you how to use the Power Apps visual to pass context-aware data to a canvas app, which updates in real-time as you make changes to your report. This will allow your app users to derive business insights and take actions from right within their Power BI reports and dashboards. Finally, this course will explore the intersections between Power BI and Microsoft’s enterprise-level data modeling and analysis platform, SQL Server Analysis Services.Module 1 – Prepare Data1.1 Course Introduction1.2 Module 1 Introduction1.3 Introduction to Power BI1.4 Get data from various data sources1.5 Preview source dataModule 2 – Clean, Transform, and Load Data2.1 Module 2 Introduction2.2 DimEmployee Example2.3 DimEmployeeSalesTerritory Example2.4 DimReseller Example2.5 FactResellersSales Example2.6 ResellerSalesTargets Example2.7 Color Formats ExampleModule 3 – Design a Data Model3.1 Module 3 Introduction3.2 Introduction to Data Modeling3.3 Model Relationships3.4 Table Configuration3.5 Model interface3.6 Quick Measures3.7 Many-to-many relationships3.8 Row-level securityModule 4 – Create Model Calculations using DAX4.1 Module 4 Introduction4.2 DAX context4.3 Calculated Tables4.4 Calculated Columns4.5 Managing Date Tables4.6 Measures4.7 Filter Manipulation4.8 Time IntelligenceModule 5 – Create Reports5.1 Module 5 Introduction5.2 Basic Report Creation 5.3 Example Page 1 5.4 Example Page 2 5.5 Example Page 3 5.6 Report Publishing 5.7 Enhancing Reports 5.8 Drill-Through Pages 5.9 Conditional Formatting 5.10 Buttons and Bookmarks Module 6 – Create Dashboards 6.1 Module 6 Introduction 6.2 Dashboard Basics 6.3 Real Time Dashboards 6.4 Enhanced DashboardsModule 7 – Create Paginated Reports 7.1 Module 7 Introduction 7.2 Introduction to Power BI Report Builder 7.3 Report Layouts 7.4 Report Data 7.5 Report Tables Module 8 – Perform Advanced Analytics 8.1 Module 8 Introduction8.2 Introduction to Advanced Analytics 8.3 Scatter Chart 8.4 Forecast 8.5 Decomposition Tree 8.6 Key Influencers Module 9 – Create and Manage Workspaces 9.1 Introduction to Workspaces 9.2 Working with Workspaces and the Portal Module 10 – Create Power App Visuals10.1 Module 10 Introduction 10.2 Introduction to Power Apps Visual 10.3 Creating the App 10.4 Basic Power Apps Concepts 10.5 Refreshing the Report Module 11 – Analysis Services and Power BI11.1 Module 11 Introduction 11.2 Introduction to Analysis Services11.3 Connecting with Multidimensional Models 11.4 Premium Workspaces and Analysis Services 11.5 Course Wrap UpWho this course is for:Students who want to learn data analysis and reporting.Data analysts and business intelligence professionals who want to create data models before disseminating reports throughout the organization.