Power BI

Categories: Data Visualization
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About Course

This course is designed to provide students with a comprehensive understanding of Power BI and its applications in data analytics. Power BI is a suite of business analytics tools that enables users to connect, visualize, and share data insights. Students will learn how to collect, preprocess, analyze, and visualize data using Power BI Desktop and Power BI Online. The course will cover key concepts and methods in data modeling, data visualization, and data storytelling. Additionally, students will explore the latest trends and emerging technologies in data analytics using Power BI.

Course Outline:

  1. Introduction to Power BI
  • Definition of Power BI
  • Importance of Power BI
  • Key Concepts in Power BI
  • Applications of Power BI
  1. Data Collection and Management for Power BI
  • Types of Data in Power BI
  • Data Collection Methods
  • Data Preprocessing and Cleansing
  • Data Storage and Retrieval
  1. Power BI Desktop
  • Introduction to Power BI Desktop
  • Creating and Managing Data Models
  • Building and Formatting Visualizations
  • Data Analysis and Calculation using DAX
  1. Power BI Online
  • Introduction to Power BI Online
  • Creating and Sharing Reports and Dashboards
  • Collaboration and Sharing in Power BI Online
  • Data Refresh and Scheduled Data Refresh in Power BI Online
  1. Advanced Techniques in Power BI
  • Advanced Data Modeling Techniques
  • Advanced Data Visualization Techniques
  • Data Storytelling using Power BI
  • Power BI Integration with Other Tools and Technologies
  1. Emerging Technologies in Power BI
  • Artificial Intelligence (AI) in Data Analytics
  • Cloud-Based Data Analytics
  • Predictive Analytics


  • Basic understanding of Excel and data analysis
  • Familiarity with database concepts

Recommended Textbook:

  • “Power BI: A Practical Guide for Business Analysts” by Sanjiv Jivan.


  • Midterm Exam (30%)
  • Final Exam (40%)
  • Group Project (30%)

Note: The course syllabus and assessment methods are subject to change based on instructor’s discretion.


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What Will You Learn?

  • 1. Understand the importance of Power BI in data analytics.
  • 2. Collect, preprocess, and transform data using Power BI Desktop.
  • 3. Create data models, visualizations, and calculations using Power BI Desktop.
  • 4. Create and share reports and dashboards using Power BI Online.
  • 5. Analyze and visualize data using advanced techniques in Power BI.
  • 6. Identify emerging technologies in data analytics and their potential impact on Power BI.

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