Top 10 Most Important Data Cleaning Methods in Power BI | Power BI

Mastering Power BI (affiliate): https://amzn.to/43rQgm3 Let us see what are the most important Data Cleaning methods which you would need in conducting your data analysis 1. Removing Unwanted Columns 2. Renaming Columns 3. Removing Duplicates 4. Merging Columns 5. Splitting Columns 6. Replacing Null Values 7. Changing Data Types 8. Sorting Data 9. Filter Data 10. Pivot & Unpivot (will be covered in future videos) Data used https://www.pivotalstats.com/post/top-10-most-important-data-cleaning-methods-in-power-bi Previous Video Link https://youtu.be/cdOPw36J3aA Visit my blog for more content : https://www.pivotalstats.com Affiliate Links -- Best Web Hosting Service : https://bluehost.sjv.io/k0OkNv Cool tech that I use for these videos : 1. Blue Yeti Microphone - https://amzn.to/3CeMv7C 2. LG Ultrawide Curved Monitor - https://amzn.to/3EaHY8v #Microsoft #powerquery #powerpivot #dataanalytics #dataanalysis #powerbi power bi,power bi desktop,power bi tutorial,power bi dashboard,power bi training,power bi tutorial for beginners,power bi for beginners,microsoft power bi,what is power bi,power bi desktop tutorial,power bi excel,learn power bi,how to power bi,powerbi,power bi course,power bi reports,power bi demo,power bi dashboard design,ms power bi,dax power bi,power bi pro,power bi basics,power bi report,power bi design,power bi service,power bi visuals