Power BI course + Excel basics

A lot of people start with Power Business Intelligence because the charts look modern, then hit a wall when the data underneath is messy. Microsoft’s own training starts earlier than the dashboards: first you connect to files, databases, and apps, then you clean the data before you build anything visual. (learn.microsoft.com) That cleaning step is called Power Query, and it is basically a sink where you wash the dishes before serving dinner. Microsoft’s training module says it covers changing data types, renaming fields, pivoting data, and profiling columns so you can see what is broken before it reaches a report. (learn.microsoft.com) After the cleanup comes data modeling, which is the part where you decide how tables relate to each other so sales, dates, and customers line up correctly. Microsoft says that stage uses relationships and Data Analysis Expressions, which is its formula language, to produce accurate analysis instead of pretty but wrong charts. (learn.microsoft.com) Only then do dashboards make sense. Microsoft’s documentation says Power Business Intelligence reports can drill through to other pages and let users explore data interactively, which is why a simple bar chart can turn into a working management tool when the model underneath is solid. (learn.microsoft.com) That is why experienced users keep telling beginners not to skip Microsoft Excel. Basic spreadsheet work teaches the habits Power Business Intelligence assumes you already have: entering formulas, sorting rows, filtering tables, and summarizing data with pivot tables. (support.microsoft.com) Even outside Microsoft’s own material, beginner Excel courses still center on the same building blocks: simple formulas, structured tables, charts, sorting, filtering, and pivot tables. Those are the same moves you use later in Power Query and reporting, just with a bigger engine and cleaner interface. (technologia.com) The free course getting attention this week fits that ladder almost exactly: start with importing data, move into Power Query cleanup, and end with simple dashboards. That structure mirrors Microsoft Learn’s official sequence of get data, clean data, model data, and then build reports. (learn.microsoft.com 1) (learn.microsoft.com 2) The hiring stories around these courses also follow a pattern. People are not getting noticed for watching 20 modules; they are getting noticed for turning raw files into a finished project that shows data cleanup, relationships, and a dashboard an employer can click through. (x.com) (learn.microsoft.com) So the real sequence is less glamorous than the social posts make it look. Learn Excel well enough to understand rows, columns, formulas, and pivot tables, then use Power Query to clean data, then build one practical Power Business Intelligence project that answers a real question. (x.com) (learn.microsoft.com) That is also why free training can work unusually fast here. A beginner can download sample sales data, clean duplicate rows, fix date formats, connect a customer table, and publish one dashboard in a weekend, and each of those steps matches a task companies already pay analysts to do. (x.com) (learn.microsoft.com)