Generic filters
Exact matches only
Search in title
Search in content
Search in excerpt

Power BI: Data Analysis Professional

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.
NameBuy
Power BI: Data Analysis Professional
Test Prep
50+ Pre Assessment Questions | 50+ Post Assessment Questions |
Features
26+ LiveLab | 26+ Video tutorials | 02:02+ Hours

Why choose TOPTALENT?

Outline

Lessons 1:
Introduction

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

Lessons 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

Lessons 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

Lessons 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

Lessons 5:
Visualizing Data with Power BI

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

Lessons 6:
Enhancing Data Analysis

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

Lessons 7:
Modeling Data with Calculations

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

Lessons 8:
Creating Interactive Visualizations

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

Lessons 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

Lessons 10:
Enhancing Reports and Dashboards

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

Lessons 11:
Publishing and Sharing Reports and Dashboards

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

Lessons 12:
Extending Power BI Beyond the Desktop

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