Faster work in Query Editor - You will clean up and transform data more efficiently in Query Editor, so you can prepare analysis-ready datasets on your own and reduce errors before the data even reaches the report.
Combining multiple data sources - You will learn how to import data from Excel files, CSV files, and databases, then bring it into one consistent model, making it easier to build reports from different information sources.
Confident use of analytical functions - You will practice aggregation, lookup, counting, and time functions, so you can calculate key metrics faster, compare results, and answer specific business questions with your analyses.
Better report model design - You will understand how to build a report model with quick measures and key properties, helping you create reports that are clearer, more consistent, and easier to expand later on.
Smarter tables and filters - You will learn when to use parameter tables and calculated tables, and how to apply filters effectively, so you can control report logic and tailor analyses to different audiences.
Clear data hierarchies - You will learn how to create and adjust hierarchies in Power BI, making your data presentation more structured and helping users move smoothly from summary views to detailed insights.
Practical DAX conditions - You will master IF and SWITCH logic as well as filter behavior in DAX, allowing you to build more flexible calculations and align report results with specific business rules.
Custom measures and calculated columns - You will learn how to create calculated columns and measures in DAX, so you can build custom indicators that go beyond what standard Power BI settings can deliver on their own.
Power BI basics - You should know the basic Power BI interface and be able to navigate report, data, and model views, so you can work comfortably with the more advanced features in the course.
Working with tabular data - You should be comfortable working with tables, understand columns, rows, and data types, and read simple summaries, because the training builds directly on those skills.
Basic data analysis concepts - You should understand core analytical concepts such as filtering, grouping, summing, and counting, so you can build measures more easily and interpret report results correctly.
Excel or similar tool experience - You should have experience working with Excel or a similar data analysis tool, because the training assumes you already understand tables, formulas, and common data sources.
