We may earn an affiliate commission when you visit our partners.
Course image
Sebastian Taylor

This course provides step-by-step instructions for how to set-up a business intelligence dashboard in Excel using the Power Pivot add-on. You’ll learn the key functions and best practices for setting-up a dashboard. As you progress through the course, you’ll apply everything you’ve learned to a hands-on example using data we provide. By the end of this course, you’ll walk away with everything you need to create your own dashboards in Excel—so you can analyze and present data, track KPIs, and make your data easily accessible.

Read more

This course provides step-by-step instructions for how to set-up a business intelligence dashboard in Excel using the Power Pivot add-on. You’ll learn the key functions and best practices for setting-up a dashboard. As you progress through the course, you’ll apply everything you’ve learned to a hands-on example using data we provide. By the end of this course, you’ll walk away with everything you need to create your own dashboards in Excel—so you can analyze and present data, track KPIs, and make your data easily accessible.

Upon completing this course, you will be able to:

● Create a Power Pivot table by drawing data from several different tables

● Develop simple calculated metrics with consistent formatting to be re-used across our dashboard

● Assemble multiple pivot tables, charts, and dimensions into a dashboard

● Apply DAX formatting language to create measures and columns that draw data from other tables

● Manipulate context to calculate more advanced metrics

● Utilize DAX Advanced Time Intelligence to create powerful period comparisons and KPIs

Enroll now

Two deals to help you save

What's inside

Syllabus

Course Orientation
In this module, you'll explore how Power Pivot transforms Microsoft Excel, bringing business intelligence and analysis capabilities to the forefront. Discover the key benefits, from creating pivot tables with multiple sources to performing powerful time period comparisons, and elevate your analysis skills to the next level with simple formulas and advanced functionalities.
Read more
Module 1: A Basic Data Model
Dive into the world of data modeling as we guide you through the process of building a relational data model in Power Pivot. Unleash the power of new functionalities and learn to import, relate, summarize, and interact with your data using measures, tables, and slicers for enhanced Excel capabilities.
Module 2: Basic Measures
Welcome to the next chapter of our Power Pivot Mastery course! Now that you've mastered data consolidation and interaction, this chapter delves into the world of DAX measures. Learn how to create metrics, leverage DAX as a powerful formula language, and unlock new possibilities for data aggregation and analysis in your Excel data model.
Module 3: Working with a Star Schema
Welcome to our Advanced Power Pivot Techniques module! Building upon your understanding of the Power Pivot data model and DAX, explore how to efficiently aggregate and summarize data with reusable formulas. This chapter introduces the Star Schema data model, guiding you through expanding datasets, managing multiple dimension tables, and creating interactive dashboards with a logical flow. Learn the significance of the Star Schema, leverage timelines, pivot charts, and enhance data import efficiency by combining Power Query with Power Pivot for a cohesive and consistent dashboard experience.
Module 4: From Number to Narratives
In this module, explore the art of turning data into meaningful insights and compelling data stories. Learn to create advanced DAX measures, employ the CALCULATE function for percent of total calculations, delve into DAX Time Intelligence for year-over-year comparisons, and enhance dashboard aesthetics with conditional formatting, KPIs, and visual cues. Elevate your data presentation skills and gain a solid foundation for crafting professional-looking dashboards that communicate insights effectively.
Module 5: Extended Practice
Welcome to the end-of-course exercise! Apply your skills to the Big Wings Airline case study, where you'll independently create a competitor analysis dashboard. Utilize your data modeling, metrics creation, and dashboard formatting knowledge to meet the provided requirements and communicate key insights effectively. Happy practicing!
Course Conclusion
Congratulations on completing our Power Pivot course! You've mastered the art of building three insightful dashboards, creating data models, understanding DAX basics, and delving into time intelligence calculations.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides simple exercises to help transfer learning to practice
Offers expert instructors with a proven track record in business intelligence
Covers essential data modeling, metrics creation, and dashboard formatting techniques
Suitable for beginners seeking a foundation in business intelligence and Excel data analysis
Provides hands-on examples and practical exercises for reinforcement
Involves the use of Power Pivot add-on for Excel, which may require additional software

Save this course

Save Power Pivot Fundamentals to your list so you can find it easily later:
Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Power Pivot Fundamentals with these activities:
Review the basics of Excel
Build a stronger foundation in Excel, which is essential for this course.
Browse courses on Excel Basics
Show steps
  • Review basic Excel functions and formulas
  • Create and format a simple spreadsheet
Read 'Data Analysis with Power Pivot and Power BI'
Expand your knowledge and stay updated with this comprehensive book on Power Pivot and Power BI.
View Optimizing DAX on Amazon
Show steps
  • Purchase and read the book
  • Take notes and highlight important concepts
  • Apply what you've learned to your dashboard projects
Create a dashboard for a real-world dataset
Apply your skills by creating a dashboard that solves a real-world problem.
Browse courses on Data Visualization
Show steps
  • Identify a suitable dataset
  • Design and build the dashboard
  • Present your dashboard to others
Show all three activities

Career center

Learners who complete Power Pivot Fundamentals will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts play a crucial role in transforming data into meaningful insights that drive better business decisions. This Power Pivot Fundamentals course provides a solid foundation for aspiring Data Analysts by teaching them how to create data models, use DAX to create advanced calculations, and build interactive dashboards that effectively communicate data insights. By mastering these skills, learners can enhance their analytical capabilities and become more valuable assets in any data-driven organization.
Financial Analyst
Financial Analysts are responsible for analyzing financial data, making recommendations, and developing strategies to optimize financial performance. This Power Pivot Fundamentals course is particularly relevant for those seeking a career in financial analysis, as it provides a deep understanding of data modeling and DAX, which are essential tools for financial modeling, budgeting, and forecasting. By gaining proficiency in these areas, learners can develop the skills needed to make informed financial decisions and contribute to the success of their organizations.
Business Analyst
Business Analysts bridge the gap between business and technology, using data to understand business needs and drive improvements. This Power Pivot Fundamentals course can be a valuable asset for Business Analysts, as it provides a thorough understanding of data modeling and analysis techniques. By learning how to create data models, use DAX to create advanced calculations, and build interactive dashboards, learners can develop the skills needed to identify inefficiencies, develop solutions, and improve business processes.
Management Consultant
Management Consultants help organizations improve their performance by providing objective advice and recommendations. This Power Pivot Fundamentals course can be beneficial for Management Consultants, as it provides a strong foundation in data analysis and modeling. By gaining proficiency in these areas, learners can develop the skills needed to gather data, analyze it effectively, and present actionable insights to clients. This course can enhance a Management Consultant's ability to identify opportunities for improvement and drive positive change within organizations.
Data Scientist
Data Scientists use advanced statistical techniques and machine learning algorithms to uncover hidden insights from data. While the Power Pivot Fundamentals course does not directly teach these specialized techniques, it provides a solid foundation in data modeling and DAX, which are fundamental skills for Data Scientists. By gaining proficiency in these areas, learners can develop the skills needed to prepare data for analysis, create predictive models, and communicate insights effectively.
Power BI Developer
Power BI Developers specialize in developing and maintaining Power BI solutions for organizations. This Power Pivot Fundamentals course provides a solid foundation for aspiring Power BI Developers by teaching them the underlying concepts of data modeling, DAX, and dashboard design. By mastering these skills, learners can develop the skills needed to create interactive and informative dashboards that help businesses make better decisions.
Data Engineer
Data Engineers design, build, and maintain data infrastructure and pipelines to support data-driven organizations. While the Power Pivot Fundamentals course does not directly teach data engineering skills, it provides a valuable foundation in data modeling and DAX, which are important concepts for Data Engineers to understand. By gaining proficiency in these areas, learners can develop the skills needed to work with data at scale and ensure the accuracy and integrity of data used for analysis.
Statistician
Statisticians use statistical methods to analyze data and draw meaningful conclusions. While the Power Pivot Fundamentals course does not directly teach advanced statistical techniques, it provides a solid foundation in data modeling and DAX, which are important concepts for Statisticians to understand. By gaining proficiency in these areas, learners can develop the skills needed to prepare data for analysis, create statistical models, and communicate insights effectively.
Auditor
Auditors examine financial records and business practices to ensure accuracy and compliance. While the Power Pivot Fundamentals course does not directly teach auditing skills, it provides a valuable foundation in data analysis and modeling. By gaining proficiency in these areas, learners can develop the skills needed to review financial data, identify discrepancies, and ensure that organizations are operating in accordance with regulations.
Financial Planner
Financial Planners help individuals and organizations plan for their financial future. While the Power Pivot Fundamentals course does not directly teach financial planning skills, it provides a valuable foundation in data analysis and modeling. By gaining proficiency in these areas, learners can develop the skills needed to analyze financial data, create financial projections, and develop personalized financial plans.
Project Manager
Project Managers plan and execute projects to achieve specific goals. While the Power Pivot Fundamentals course does not directly teach project management skills, it provides a valuable foundation in data analysis and modeling. By gaining proficiency in these areas, learners can develop the skills needed to track project progress, identify risks, and make informed decisions to ensure successful project outcomes.
Operations Manager
Operations Managers oversee the day-to-day operations of an organization. While the Power Pivot Fundamentals course does not directly teach operations management skills, it provides a valuable foundation in data analysis and modeling. By gaining proficiency in these areas, learners can develop the skills needed to analyze operational data, identify inefficiencies, and improve processes to enhance organizational performance.
Sales Manager
Sales Managers lead and motivate sales teams to achieve revenue targets. While the Power Pivot Fundamentals course does not directly teach sales management skills, it provides a valuable foundation in data analysis and modeling. By gaining proficiency in these areas, learners can develop the skills needed to analyze sales data, identify trends, and develop effective sales strategies to drive revenue growth.
Marketing Manager
Marketing Managers develop and execute marketing campaigns to promote products or services. While the Power Pivot Fundamentals course does not directly teach marketing skills, it provides a valuable foundation in data analysis and modeling. By gaining proficiency in these areas, learners can develop the skills needed to analyze marketing data, identify target audiences, and develop effective marketing campaigns to achieve business objectives.
Human Resources Manager
Human Resources Managers oversee the human resources functions of an organization, including recruitment, training, and employee relations. While the Power Pivot Fundamentals course does not directly teach human resources management skills, it provides a valuable foundation in data analysis and modeling. By gaining proficiency in these areas, learners can develop the skills needed to analyze HR data, identify trends, and develop effective HR strategies to support the organization's workforce.

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Power Pivot Fundamentals.
Helps you to understand how to use Power Pivot and Power BI to create data models and analyze data. It provides step-by-step instructions, examples, and exercises to help you learn how to use these tools effectively.
Provides a comprehensive overview of Power Pivot and Power BI, two powerful tools for data modeling and analysis in Excel. It covers all the essential concepts and techniques, from data import and modeling to creating interactive dashboards and reports.
Provides a collection of recipes for solving common problems in Power BI. It covers a wide range of topics, from data modeling to visualization to report creation. It's a great resource for anyone who wants to learn how to use Power BI effectively.
Provides a guide to using Power BI for the enterprise. It covers how to use Power BI to create and deploy enterprise-scale BI solutions. It's written in a clear and concise style, with lots of examples and exercises.
Comprehensive guide to Power Pivot, a powerful tool for data modeling and analysis in Excel. It covers all the essential concepts and techniques, from data import and modeling to creating interactive dashboards and reports.
Provides a collection of patterns for writing DAX expressions. These patterns can be used to solve common problems in data analysis. It's a great resource for anyone who wants to learn how to write efficient and effective DAX expressions.
Provides a comprehensive overview of Power BI for data analysis. It covers all aspects of Power BI, from data modeling to visualization to report creation. It's written in a clear and concise style, with lots of examples and exercises.
Provides a comprehensive guide to Power Query. Power Query data transformation tool that can be used to clean and prepare data for analysis. It's a great resource for anyone who wants to learn how to use Power Query effectively.
Provides a guide to using Power BI with Excel. It covers how to use Power BI to extend the capabilities of Excel. It's written in a clear and concise style, with lots of examples and exercises.
Provides a quick start guide to Power BI Desktop. It covers the basics of Power BI Desktop, from data modeling to visualization to report creation. It's written in a clear and concise style, with lots of examples and exercises.
Provides a gentle introduction to Power BI. It covers the basics of Power BI, from data modeling to visualization to report creation. It's written in a clear and concise style, with lots of examples and exercises.
Provides a gentle introduction to Power BI. It covers the basics of Power BI, from data modeling to visualization to report creation. It's written in a clear and concise style, with lots of examples and exercises.
Guide to Power Pivot and Power BI for data analysts. It covers all the essential concepts and techniques, from data import and modeling to creating interactive dashboards and reports.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Power Pivot Fundamentals.
Fundamentals of Data Analysis in Excel
Most relevant
Designing Data Visualizations
Most relevant
Assess for Success: Marketing Analytics and Measurement
Most relevant
A Comprehensive Excel Masterclass
Most relevant
Data Visualization in Excel: Build an Interactive...
Most relevant
Create a Dashboard with Query Formula using Google Sheets.
Most relevant
Excel 2019 Pro
Most relevant
Advanced DAX for Power BI
Most relevant
Microsoft Copilot for Excel: AI-Powered Data Analysis
Most relevant
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser