Description
Duration: 2 days
*This course is also available for in-house sessions.
Course Overview:
Learning Outcomes:
By the end of the course, participants will be able to:
- Master the Power Query Editor for advanced data transformations.
- Learn how to build data models, create relationships, and structure data for reporting.
- Gain proficiency in using DAX to create measures and calculated columns.
- Develop interactive reports and dashboards with slicers, filters, and bookmarks.
- Understand and apply time intelligence functions in Power BI.
Target Audience:
This course is designed for:
- Intermediate users of Power BI who wish to improve their data modeling and transformation skills.
- Business analysts, data analysts, and IT professionals looking to develop interactive reports and dashboards.
Course Outline
Module 1: Introduction to Power Query Editor and Data Transformation
- Cleaning and shaping data in Power Query.
- Merging and appending queries.
- Removing duplicates, splitting columns, and filtering data.
Module 2: Building a Data Model
- Understanding relationships and cardinality.
- Introduction to star and snowflake schema models.
- Best practices for structuring data models.
Module 3: DAX Basics: Measures vs. Calculated Columns
- Introduction to DAX and its role in Power BI.
- Difference between measures and calculated columns.
- Using basic DAX functions: SUM, AVERAGE, COUNT.
Module 4: Handling Time Intelligence with DAX
- Using basic time intelligence functions like YTD, QTD, and MTD.
- Creating custom time calculations.
Module 5: Advanced Data Transformations in Power Query
- Creating conditional columns and unpivoting data.
- Using parameters for dynamic transformations.
Module 6: Creating Interactive Reports and Dashboards
- Using slicers, filters, and bookmarks.
- Implementing drill-downs and drill-through options.






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