PowerBI Data Analyst - Create visualizations and dashboards from scratch
Learn Backend Development Part-Time, Online
Overview
Syllabus
– Introduction
– Why Clean Data?
– Common Issues with Data
– Adjusting Rows and Columns
– Deleting Blank Rows
– Filling Blank Cells
– Clearing Messy Formatting
– Removing Duplicates
– Converting Numbers Stored as Text to Numbers
– Formatting Columns
– Cleaning Columns using Text Functions
– Finding and Replacing Data
– Check Spelling
– Formatting Data as a Table
– Using Functions to Extract Data
– Using Power Query to Clean Data
– Conclusion
– Introduction
– What is Power Query?
– Example of a Messy Dataset
– Import a Text File with Get and Transform
– Power Query Editor
– Clean Dataset with Power Query Tools Part 1
– Clean Dataset with Power Query Tools Part 2
– Create a Pivot Table and Pivot Chart
– Update or Refresh Data
– Conclusion
Taught by
Simon Sez IT