For a lot of higher ed analysts, the scariest part of the job isn’t writing a PeopleSoft query—it’s what happens after the extract lands in Excel. Long columns to clean, messy values to fix, files to stack, and logic to repeat every census term or disbursement cycle. Many colleagues have lived mostly in PeopleSoft Query Manager and basic Excel, with little exposure to R, Python, or SAS, and suddenly find themselves asked to “prep the data” too. This post is for them.
Why Start with Power Query in Excel?
Power Query in Excel is a friendly, visual way to step into real data preparation without learning a programming language or buying a new BI tool. Power ...