This course focuses on how reporting teams prepare operational data inside Power BI before modeling and visualization. Learners work with real business-style datasets that contain incomplete records, incorrect formats, duplicate rows, and mismatched codes. The program explains how Power Query is used to clean, validate, and reshape data so that reporting models remain accurate and refreshable. It also explains why unprepared data causes incorrect business conclusions and how teams maintain repeatable data preparation logic.
What Will You Learn
- Data profiling and error detection
- Handling missing and invalid values
- Data type standardisation
- Duplicate and mismatch correction
- Column shaping and validation
- Repeatable data preparation logic
Prerequisites
- Basic Power BI Desktop usage
- Familiarity with tables and columns
Who Should Do This Training
- Business analysts
- MIS and reporting teams
- Finance, sales and operations users
- Data support staff