This course focuses on using the Power Pivot features to enhance data analysis. We will review the four components of Power Pivot (data model, calculations, hierarchies and KPIs), and you will learn how you can use each of these features. You'll spend most of the time building the data model and using calculations. You will learn how to add data to your data model either directly into Power Pivot or from Power Query. We will discuss the benefits of the data model relationships versus using the VLOOKUP function to access data in different tables. One of the strengths of Power Pivot is the formula language called DAX (Data Analysis eXpressions). We will introduce DAX so that you can use basic DAX formulas to build various calculations in the data model. As we build these different calculations into our data model, you will learn the difference between calculated columns and measures. We use Excel 2019/Office365 during the presentation, but most concepts covered in this course apply to all versions of Excel.
Learning Objectives
• Create a data model using Power Pivot
• Differentiate between calculated columns and measures
• Use Power Pivot for data analysis
Major Topics
• Data modeling in Power Pivot
• Using basic DAX to create calculations
• What are and when to use calculated columns and measures
• Using the data model in Power Pivot to create PivotTables
• Hierarchies in Power Pivot