Introduction to Microsoft Power BI

Data Analysis and Reporting

What you'll learn
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.

Requirements
There are no requirements or prerequisites needed to take this course

Description
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 Data

1.1 Course Introduction

1.2 Module 1 Introduction

1.3 Introduction to Power BI

1.4 Get data from various data sources

1.5 Preview source data

Module 2 - Clean, Transform, and Load Data

2.1 Module 2 Introduction

2.2 DimEmployee Example

2.3 DimEmployeeSalesTerritory Example

2.4 DimReseller Example

2.5 FactResellersSales Example

2.6 ResellerSalesTargets Example

2.7 Color Formats Example

Module 3 - Design a Data Model

3.1 Module 3 Introduction

3.2 Introduction to Data Modeling

3.3 Model Relationships

3.4 Table Configuration

3.5 Model interface

3.6 Quick Measures

3.7 Many-to-many relationships

3.8 Row-level security

Module 4 - Create Model Calculations using DAX

4.1 Module 4 Introduction

4.2 DAX context

4.3 Calculated Tables

4.4 Calculated Columns

4.5 Managing Date Tables

4.6 Measures

4.7 Filter Manipulation

4.8 Time Intelligence

Module 5 - Create Reports

5.1 Module 5 Introduction

5.2 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 Dashboards

Module 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 Introduction

8.2 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 Visuals

10.1 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 BI

11.1 Module 11 Introduction

11.2 Introduction to Analysis Services

11.3 Connecting with Multidimensional Models

11.4 Premium Workspaces and Analysis Services

11.5 Course Wrap Up

Who 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.