Microsoft Excel - Power Pivot

PivotTables - whether standard or created via Power Pivot - use the same behaviors for formatting. In this module we'll look at how to properly apply Excel's formatting options to PivotTables.

You've got data, and you want to build a PivotTable now. What could possible go wrong? In this lesson we will show you!

In order to use fields from multiple tables on one PivotTable, we need to declare relationships between the tables. This lesson will explain what that means to us and the options we have in this space.

You cannot build a Many-To-Many join in Power Pivot, so what do you do when your data is in a Many-To-Many format? In this module we will explore how to work through a specific Many-To-Many case using a Composite Key.

Knowing how to solve the issue, we are now ready to go and put this technique to the test in our sample model.

In this module we will explore another common Many-To-Many join issue which can be solved by creating a "Bridge" table.

Armed with the technique on fixing our Many-To-Many join problem, it's time to apply it in our sample model.

Every model that will perform any kind of date/calendar intelligence must have a proper calendar table. This lesson gives you the tips that you can apply to any model to build a calendar table that dynamically updates with your data.

It's now time to build a dynamic calendar on the fly for our sample model. After identifying your calendar's start and end dates, it's one line of code, 5 clicks, 4 characters and the Enter key, and you're set.

You've got a bare bones functional model, but what is with the order of the months? Who sorts their dates in the following order: Apr, Aug, Dec, Feb? You do if you haven't told Power Pivot how to sort things properly!

In this module we'll explore how to use Power BI's formula language to create re-usable "Measures"

It's now time to apply our knowledge of basic formulas, and build measures that add business intelligence value to our sample model.

Creating measures is all very well, but you need to understand why they return what they do. In this module we will explain how to identify the filter context applicable to your data point, and how that influences the way measures are calculated.

This lesson explores the syntax and practical application of adding or subtracting measures from each other, and lays the groundwork for creating more complicated mathematical combinations.

CALCULATE() is the super-charged SUM(anything) function, and mastering it is the secret to truly mastering Power Pivots's formula language. In this module we will show how it works, as well as how it impacts basic measure calculation.

In this module we will create measures using the CALCULATE() function in a our model, showing how they work and add value to our business intelligence.

How do you ensure that your "All Time Sales $" retains it's "All time" status when your user drills the report into a specific month? This lesson is ALL() about the function that lets you do exactly that.

In this module we implement practical examples of using the ALL() function to our model, allowing us to modify and override the filter context of the measure. The result? Measures that only change when we want them to!

This lesson will explore a couple of key Date/Time Intelligence measures that allow us to return Month-To-Date and Year-To-Date versions of our measures that change with the date selections made by our users.

"Subscription Excel vs Non-Subscription Excel" and "32 bit vs 64 bit" are two huge points of concern for Power Pivot modelers. Which do you need, why is it so important, and how can you make a case to get them?

This lesson focuses on best practices for model design in order to keep your Power Pivot models responsive and stable.