Data Cleaning with Power BI

Table of Contents

1. Introduction to Power BI Data Cleaning
2. Understanding Data Quality and Why Data Cleaning is Important
3. Data Cleaning Fundamentals and Principles
4. The Most Common Data Cleaning Operations
5. Importing Data into Power BI
6. Cleaning Data with Query Editor
7. Transforming Data with the M Language
8. Using Data Profiling for Exploratory Data Analysis (EDA)
9. Advanced Data Cleaning Techniques
10. Creating Custom Functions in Power Query
11. M Query Optimization
12. Data Modeling and Managing Relationships
13. Preparing Data for Paginated Reporting
14. Automating Data Cleaning Tasks with Power Automate
15. Making Life Easier with OpenAI