This course introduces Microsoft Excel's powerful data modeling and business intelligence tools: Power Query, Power Pivot, and Data Analysis Expressions (DAX).
If you're looking to become a power Excel user and absolutely supercharge your Excel analytics game, this course is the A-Z guide that you're looking for. I'll introduce the "Power Excel" landscape, and explore what these Excel tools are all about and why they are changing the world of self-service business intelligence.
Together, we'll walk through the Excel BI workflow, and build an entire Excel data model from scratch:
First we'll get hands-on with Power Query; a tool to extract, transform, and load data into Excel from flat files, folders, databases, API services and more. We'll practice shaping, blending and exploring our project files in Excel's query editor, and create completely automated loading procedures inside of Excel with only a few clicks.
From there we'll dive into Data Modeling 101, and cover the fundamentals of database design and normalization (including table relationships, cardinality, hierarchies and more). We'll take a tour through the Excel data model interface, introduce some best practices and pro tips, and then create our own relational database to analyze throughout the course.
Finally, we'll use Power Pivot and DAX to explore and analyze our Excel data model. Unlike traditional Excel Pivot Tables, Power Pivot allows you to analyze hundreds of millions of rows across multiple data tables (inside of Excel!), and create supercharged calculated fields using a formula language called Data Analysis Expressions (or "DAX" for short). We'll cover basic DAX syntax, then introduce some of the most powerful and commonly-used functions -- CALCULATE, FILTER, SUMX and more.