
Introduction to the course
Introduction to the Power Pivot and Data Model section
In this lesson you will learn how to load data into Power Pivot
In this lesson you will learn how to browse, filter and sort your data in the data model
In this practical activity you will load data from an Excel file into Power Pivot
Discover how pivot tables summarize and aggregate data from Power Pivot, the main way to present and understand your data, and explore essential features.
Learn how to create pivot tables from data modelling
In this lesson you will learn how to create simple measures in the Data Model and use them in Pivot Tables
In this lesson you will learn to use Slicers to filter data in the Pivot Table
In this lesson you will create a Pivot Chart and Table and use a Slicer to filter both
In this practical activity you will learn create Pivot Tables and Pivot Charts from Power Pivot Data
Create a sales by country report in Power Pivot, showing total, average, max, min sales and distinct category counts, with a pivot chart and slicers for model and business segment.
In this section you will learn how to create calculated columns for your data model
In this lesson you will learn how to add multiplication and subtraction calculations to the data model
In this lesson you will learn how to add new fields for Year, Month, Week Number and Week Day
Add weekday and week number fields in Power Pivot with the weekday and weeknum formulas on the sales date, Monday as day one. Prepare to display weekday names in reports.
In this lesson you will learn how to create weekday and month names. In addition you will learn how to correctly sort these fields
In this practical activity you are going to add calculated columns to your data model
In this lesson you will create a date table that will be used for calculations and Pivot Tables
In this lesson you will how to use text and logical function in Power Pivot
Introduction to the measures section
In this lesson you will learn how to create Sum, Average, Max, Min, DistinctCount and Divide
In this practical activity you will create measures for the data model.
Create measures in Power Pivot to analyze sales data, including average, max, and min sales, distinct customer counts, average profit per customer, and first sale date.
In this lesson you will learn how to use the =Calculate formula. The =calculate formula is one of the most powerful formulas in DAX
Use the equals calculate formula to build measures for clothing sales, clothing sales in 2019, and the distinct count of clothing customers via filters on business segment and year.
In this lesson you will learn how to use the All and AllExcept functions
In this lesson you will how to create previous month, difference from previous month and year to date calculations
In this lesson we continue with the time intelligence lessons.
Use maxx with a values-based virtual table of sales dates to sum daily sales and identify the highest day of sales.
In this lesson you will learn to use the RankX function
In this lesson you will learn to create customer segmentation using the Switch function
Introduction to the relationships section
In this lesson you will learn how to create relationships
In this lesson you will learn how to use the =related function to lookup values from a related table
In this practical activity you will load an Employee Master spreadsheet. Create a relationship and then develop a 4 chart dashboard
In this lesson we will complete the four dashboard practical activity
Introduction to the KPIs and Sets section
In this lesson you will learn to create Sets within your Power Pivot data
In this lesson you will create KPIs for your data
This course contains the use of artificial intelligence.
Every lesson in this course is written, created and recorded by me. AI is used only to help produce supporting images and written materials around the lessons.
Your sales are in one table, your customers in another and your calendar in a third - and the PivotTable will only look at one of them.
That is the wall every Excel user eventually hits, and Power Pivot is the way through it. It loads millions of rows into Excel, joins your tables with relationships, and lets you write measures that stay correct however anyone slices them. There is nothing to buy - it is already built into Excel for Windows, switched off by default, and the first section shows you how to turn it on.
I teach the analysis, not the tool. Every section starts with a question a manager actually asks - which customers are growing, how does this quarter compare with last year, who are my top ten accounts - and then shows you the Power Pivot method that answers it.
WHAT YOU WILL LEARN
Loading data into the Excel Data Model, then browsing, filtering and sorting it
Building PivotTables and PivotCharts on the model, with slicers and multi-chart layouts
Calculated columns: year, month, week day, a proper date table, IF and SWITCH
Measures: aggregations, CALCULATE, ALL and ALLEXCEPT, so a number is filtered by exactly what you intend
Time Intelligence measures for comparing one period against another
SUMX, RANKX for ranking your customers, and SWITCH for customer segmentation
Relationships between tables, and calculations that cross them
KPIs, sets and hierarchies in the data model
Two case studies, including loading from Power Query and building summary tables
HOW IT IS TAUGHT
Short lessons of four to ten minutes in HD, with all the training data files provided. Every section has a Practical Activity - a written brief and the data - followed by a walkthrough of the completed answer, so you build the model yourself rather than watch me build it. There is a four-chart dashboard to construct in the Relationships section.
A NOTE ON COPILOT
Copilot in Excel is very good at answering a question about one table you already have. It does not build a data model, join tables or write DAX. That is what this course teaches, and it is the part that does not go away - a model is the thing an AI assistant needs before it can give you a trustworthy answer about more than one table.
ABOUT THE TRAINER
I am a Udemy Instructor Partner. I have been training business people to work with data since 2008 and publishing on Udemy since 2013. Across 16 courses I have taught more than 398,000 learners and hold a 4.6 average from more than 139,000 reviews.
This course is rated 4.6 from more than 2,700 ratings. I specialise in training business users in Microsoft Excel, Copilot in Excel, Power Query, Microsoft Power BI, Looker Studio and Amazon QuickSight.
WHERE THIS COURSE SITS
This course assumes you can already build a basic PivotTable. If you cannot, take Complete Introduction to Excel Pivot Tables first. If your problem is getting messy data into Excel rather than modeling it once it is there, that is Complete Introduction to Excel Power Query. And Power Pivot uses DAX, the same formula language as Power BI - so this is also the least expensive way to learn DAX before you move across.
Ready to get past the one-table limit? Let's get started.