Power BI: Data Analysis Professional

(PWR-BI.AD1) / ISBN : 978-1-64459-260-1
This course includes
Lessons
TestPrep
Hands-On Labs
AI Tutor (Add-on)
285 Review
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About This Course

Use Power BI: Data Analysis Professional course and lab to explore and visualize data with Power BI. The lab is cloud-based, device-enabled, and can easily be integrated with an LMS. The Power BI course provides knowledge and skills required to analyze data with self-service BI, connect to data sources, perform advanced data modeling and shaping, perform advanced analysis, publish and share reports and dashboards, extend access to Power BI, and more.

Skills You’ll Get

Get the support you need. Enroll in our Instructor-Led Course.

Lessons

12+ Lessons | 89+ Quizzes | 100+ Flashcards | 100+ Glossary of terms

TestPrep

50+ Pre Assessment Questions | 50+ Post Assessment Questions |

Hands-On Labs

26+ LiveLab | 26+ Video tutorials | 02:02+ Hours

1

Introduction

  • Course Description
  • How to Use This course
  • Course-Specific Technical Requirements
2

Analyzing Data with Self-Service BI

  • Topic A: Data Analysis and Visualization for Business Intelligence
  • Topic B: Self-Service BI with Microsoft Power BI
  • Summary
3

Connecting to Data Sources

  • Topic A: Create Data Connections
  • Topic B: Configure and Manage Data Relationships
  • Topic C: Save Files in Power BI
  • Summary
4

Performing Data Cleaning, Profiling, and Shaping

  • Topic A: Clean, Transform, and Load Data with the Query Editor
  • Topic B: Profile Data with the Query Editor
  • Topic C: Shape Data with the Query Editor
  • Topic D: Combine and Manage Data Rows
  • Summary
5

Visualizing Data with Power BI

  • Topic A: Create Visualizations in Power BI
  • Topic B: Chart Data in Power BI
  • Summary
6

Enhancing Data Analysis

  • Topic A: Customize Visuals and Pages
  • Topic B: Incorporate Tooltips
  • Summary
7

Modeling Data with Calculations

  • Topic A: Create Calculations with Data Analysis Expressions (DAX)
  • Topic B: Create Calculated Measures and Conditional Columns
  • Summary
8

Creating Interactive Visualizations

  • Topic A: Create and Manage Data Hierarchies
  • Topic B: Filter and Slice Reports
  • Topic C: Create Dashboards
  • Summary
9

Using Advanced Analysis Techniques

  • Topic A: Create Calculated Tables, Variables, and Parameters
  • Topic B: Enhance Visuals with Statistical Analysis
  • Topic C: Perform Advanced Analysis
  • Summary
10

Enhancing Reports and Dashboards

  • Topic A: Enhance Reports
  • Topic B: Enhance Dashboards
  • Summary
11

Publishing and Sharing Reports and Dashboards

  • Topic A: Publish Reports
  • Topic B: Create and Manage Workspaces
  • Topic C: Share Reports and Dashboards
  • Summary
12

Extending Power BI Beyond the Desktop

  • Topic A: Use Power BI Mobile
  • Topic B: Extend Access with the Power BI API
  • Summary

1

Analyzing Data with Self-Service BI

  • Interacting with Visualizations in Power BI
2

Connecting to Data Sources

  • Creating a Data Connection
  • Configuring and Managing Data Relationships
  • Saving and Exporting Files in Power BI
3

Performing Data Cleaning, Profiling, and Shaping

  • Cleaning, Transforming, and Loading Connected Data
  • Profiling Data in Power BI
  • Shaping Data for Analysis
  • Using the Transpose Feature
4

Visualizing Data with Power BI

  • Creating Visualizations
  • Charting Data in Power BI
5

Enhancing Data Analysis

  • Customizing Visuals in Power BI
  • Incorporating Tooltips to Enhance Data Analysis
6

Modeling Data with Calculations

  • Creating Calculations with DAX
  • Creating Calculated Measures
  • Creating Conditional Columns
7

Creating Interactive Visualizations

  • Creating and Managing Data Hierarchies
  • Filtering and Slicing Reports
8

Using Advanced Analysis Techniques

  • Creating a Calculated Table
  • Enhancing Visuals with Statistical Analysis
  • Performing Advanced Analysis
9

Enhancing Reports and Dashboards

  • Enhancing Reports
  • Enhancing Dashboards
10

Publishing and Sharing Reports and Dashboards

  • Publishing Reports and Refreshing Data
  • Configuring Row-level Security
11

Extending Power BI Beyond the Desktop

  • Configuring the Mobile Layout
  • Reviewing Custom Visuals and Apps

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