Microsoft Power BI Data Analyst Professional Certificate Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview (80-120 words) describing structure and time commitment.
Module 1: Introduction to Data Analysis with Power BI
Estimated time: 15 hours
- Understand the fundamentals of data analysis and business intelligence
- Explore the Power BI interface and core functionalities
- Learn the role of Power BI in ETL (Extract, Transform, Load) processes
- Import and connect to various data sources
Module 2: Data Preparation and Transformation
Estimated time: 20 hours
- Clean and structure raw data using Power Query
- Merge and reshape datasets for analysis
- Handle errors and missing values in data
- Optimize data models for performance and efficiency
Module 3: Data Modeling and DAX Formulas
Estimated time: 25 hours
- Create relational data models and define table relationships
- Write DAX formulas for calculated columns and measures
- Implement time intelligence functions for trend analysis
- Aggregate data and perform advanced calculations using DAX
Module 4: Data Visualization and Reporting
Estimated time: 30 hours
- Design interactive dashboards and reports in Power BI
- Customize visualizations including charts, tables, and KPIs
- Apply best practices in data storytelling and visual design
- Enhance user experience with filters, drill-throughs, and bookmarks
Module 5: Capstone Power BI Project
Estimated time: 40 hours
- Work with real-world datasets to clean and model data
- Build a comprehensive Power BI dashboard for business insights
- Present findings using effective data storytelling techniques
Module 6: Final Project
Estimated time: 10 hours
- Submit a professional Power BI portfolio project
- Receive feedback and iterate on dashboard design
- Earn the Microsoft Power BI Data Analyst Professional Certificate
Prerequisites
- Basic understanding of data concepts and spreadsheets
- Familiarity with Microsoft Office, especially Excel
- No prior coding experience required, but comfort with data is helpful
What You'll Be Able to Do After
- Connect and clean diverse data sources using Power Query
- Build relational data models and manage relationships in Power BI
- Create advanced calculations using DAX and time intelligence
- Design interactive, visually compelling dashboards and reports
- Present data insights effectively through storytelling and visualization