Microsoft Power BI Data Analyst (2025)

Price

R7,900.00R9,982.00 (Excl. VAT)

COURSE FEATURES

This course covers 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 show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution

What you will learn in this course

Lesson 1: Introduction to Power BI

  • What Is Power BI?
  • Key Components of Power BI
  • Benefits of Data Visualization
  • Navigating the Power BI Interface

 

Lesson 2: Data Preparation and Querying

  • Data Sources and Connections
  • Data Transformation and Cleaning
  • Data Modeling Basics
  • Query Editor and Data Loading

 

Lesson 3: Creating Basic Reports

  • Building Visualizations
  • Formatting and Customizing Visuals
  • Adding Filters and Slicers
  • Interactive Report Building

 

Lesson 4: Advanced Visualizations

  • Advanced Chart Types
  • Hierarchies and Drill-Through
  • Combining Multiple Visuals
  • Custom Visuals and AppSource

 

Lesson 5: Data Analysis and DAX Formulas

  • Introduction to DAX (Data Analysis Expressions)
  • Creating Measures and Calculated Columns
  • DAX Functions for Data Analysis
  • Time Intelligence in DAX

Lesson 6: Advanced Reporting Features

  • Interactive Dashboards
  • Custom Themes and Layouts
  • Bookmarking and Navigation
  • Collaboration and Sharing

Lesson 7: Data Insights and AI Integration

  • Quick Insights and AutoML
  • AI-Powered Analytics
  • Anomaly Detection and Key Influencers
  • Using Natural Language Queries

 

Lesson 8: Data Governance and Security

  • Data Security and Permissions
  • Row-Level Security
  • Data Refresh and Scheduled Updates
  • Data Governance Best Practices

 

Lesson 9: Mobile and Cloud Integration

  • Power BI Mobile App
  • Publishing Reports to Power BI Service
  • Sharing and Collaboration in the Cloud
  • On-Premises Data Gateway

 

Lesson 10: Tips and Tricks

  • Efficiency Tips and Shortcuts
  • Troubleshooting Common Issues
  • Best Practices for End Users

Power BI Community and Resources

Who should attend?

Audience Profile
The audience for this course are expected to be data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI.

This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.

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