Business & Entrepreneurship Data Analysis

Excel Power Pivot and Data Modeling

Build reliable Excel data models with Power Pivot, relationships, calculated columns, measures, and practical DAX

Excel Power Pivot and Data Modeling logo
Quick Course Facts
18
Self-paced, Online, Lessons
18
Videos and/or Narrated Presentations
6.2
Approximate Hours of Course Media
About the Excel Power Pivot and Data Modeling Course

Excel Power Pivot and Data Modeling is a practical Business course for Excel users who want to organize larger datasets, connect tables, and create reports that stay accurate as data changes. You will learn how to Build reliable Excel data models with Power Pivot, relationships, calculated columns, measures, and practical DAX so your analysis is faster, cleaner, and easier to maintain.

Build Smarter Business Reports With Excel Power Pivot And Data Modeling

  • Learn a modern Excel workflow for preparing clean source tables and loading them into the Excel Data Model.
  • Understand fact tables, dimension tables, primary keys, foreign keys, and relationship logic for dependable Business analysis.
  • Write practical DAX measures using SUM, COUNT, DISTINCTCOUNT, DIVIDE, CALCULATE, ratios, percentages, and time intelligence.
  • Create PivotTables, slicers, timelines, and a capstone sales performance model that supports real reporting decisions.

Excel Power Pivot and Data Modeling teaches you how to turn structured data into reliable Business reporting models.

This course starts with the foundations of Power Pivot, data models, and the modern Excel workflow, then shows you how to prepare clean source tables before building a model. You will learn how fact tables and dimension tables work together, how relationships control analysis, and why model structure matters when reports need to be trusted.

As the course progresses, you will practice loading data into the Excel Data Model, creating and managing relationships, and understanding filter flow and context in reports. You will also compare calculated columns and measures, write core DAX formulas, and use CALCULATE to control filter context for more flexible Business calculations.

The lessons then move into practical reporting skills, including ratios, percentages, contribution analysis, date tables, year-to-date results, prior period comparisons, and variance measures. You will also learn how to segment results by categories, regions, and customer groups, then design PivotTables with slicers, timelines, and filters that make reports easier to explore.

By the end of Excel Power Pivot and Data Modeling, you will be able to troubleshoot incorrect totals, broken relationships, and blank results with more confidence. Through the capstone sales performance project, you will finish with the skills to Build reliable Excel data models with Power Pivot, relationships, calculated columns, measures, and practical DAX for clearer, more scalable Business reporting.

Course Lessons

Full lesson breakdown

Lessons are organized by topic area and each includes descriptive copy for search visibility and student clarity.

Foundations of Power Pivot

2 lessons

This lesson introduces the role of Power Pivot in the modern Excel workflow and explains why the Data Model is more reliable than building analysis from flat worksheets alone. Learners see how Power Q…
In this lesson, Professor Anthony Owens explains how to prepare source tables so they behave reliably inside Excel Power Pivot. The focus is not advanced DAX yet; it is the practical cleanup work that…

Data Modeling Essentials

2 lessons

This lesson introduces the structural foundation of a reliable Power Pivot model: separating measurable business events into fact tables and descriptive lookup data into dimension tables. Learners wil…
This lesson explains how primary keys, foreign keys, and relationship logic make a Power Pivot data model reliable. Learners will see why a model needs one clear lookup side and one transactional data…

Building the Model

3 lessons

This lesson shows how to load clean, analysis-ready tables into the Excel Data Model using Power Pivot and Excel’s data import tools. Learners will distinguish between loading data to a worksheet and …
In this lesson, learners build the relationship layer of an Excel Power Pivot model. They learn how Power Pivot connects fact tables and lookup tables, why unique keys matter, and how relationships re…
This lesson explains how filters move through a Power Pivot data model and how that movement affects PivotTable reports, slicers, and DAX measures. Learners will connect report behavior to model struc…

DAX Fundamentals

3 lessons

This lesson explains the practical difference between calculated columns and measures in Excel Power Pivot. Learners will see where each type of DAX calculation is stored, when it is evaluated, how it…
In this lesson, Professor Anthony Owens introduces the core DAX measures that most Power Pivot models use every day: SUM , COUNT , DISTINCTCOUNT , and DIVIDE . Learners practice writing reusable measu…
In this lesson, Professor Anthony Owens explains how CALCULATE gives DAX measures the ability to change filter context on purpose. Learners will see why CALCULATE is central to Power Pivot modeling, h…

Practical Business Calculations

3 lessons

In this lesson, Professor Anthony Owens shows how to build ratio, percentage, and contribution measures in Power Pivot using practical DAX patterns. The focus is on business-ready calculations such as…
In this lesson, students build the foundation required for reliable time-based analysis in Excel Power Pivot. The focus is on creating a proper date table, relating it to transaction data, and underst…
In this lesson, learners build practical time-based measures for business reporting in Excel Power Pivot. The focus is on year-to-date, prior period, and variance measures that work reliably in PivotT…

Applied Reporting Models

3 lessons

This lesson shows how to segment Power Pivot reporting results by product categories, regions, and customer groups without weakening the data model. The focus is on practical reporting dimensions: how…
In this lesson, learners design PivotTables directly from an Excel Power Pivot data model instead of flattening data into one worksheet. The lesson focuses on choosing fields from related tables, plac…
This lesson shows how to turn a Power Pivot model into a usable reporting experience with slicers, timelines, and report filters. Learners practice choosing the right filter control for fields such as…

Model Validation and Troubleshooting

1 lesson

This lesson gives learners a practical troubleshooting workflow for Power Pivot models when totals look wrong, relationships fail, or measures return blanks. It focuses on diagnosing model behavior ra…

Capstone Project

1 lesson

In this capstone lesson, learners assemble a complete sales performance model in Excel Power Pivot using the core skills from the course: clean table structure, relationships, lookup dimensions, measu…

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About Your Instructor
Professor Anthony Owens

Professor Anthony Owens

Professor Anthony Owens guides this AI-built Virversity course with a clear, practical teaching style.