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Maven Analytics and Enrique Ruiz

This is a hands-on, project-based course designed to help you leverage Copilot in Microsoft Excel to solve real-world data analytics problems.

We’ll start by reviewing Microsoft Copilot’s basic features and limitations, compare strengths and weaknesses against Generative AI tools like ChatGPT, and get you up and running with Copilot for Microsoft 365 on your machine.

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This is a hands-on, project-based course designed to help you leverage Copilot in Microsoft Excel to solve real-world data analytics problems.

We’ll start by reviewing Microsoft Copilot’s basic features and limitations, compare strengths and weaknesses against Generative AI tools like ChatGPT, and get you up and running with Copilot for Microsoft 365 on your machine.

From there, we’ll dive into each of Copilot’s core use cases for data management and analysis. You’ll practice using Copilot to add new formula columns using natural language, apply conditional formatting rules to highlight key data points, and analyze data to find insights using pivot tables and charts.

Last but not least, we’ll showcase how to use Copilot’s generative AI engine for more advanced use cases, including writing dynamic array formulas and generating Python code within Excel.

Throughout the course, you’ll play the role of an HR Admin at ACME Corporation, a manufacturing company that makes outlandish products based on classic cartoons. Using Copilot in Excel – and the skills you learn throughout the course – you’ll manipulate employee data, monitor performance metrics, and make data-driven recommendations to your HR supervisor.

COURSE OUTLINE:

  • Introducing Copilot

    • Enable Copilot for Excel 365, introduce its basic features and limitations, and compare it with ChatGPT

  • Adding Formula Columns

    • Create calculated columns with Copilot’s formula suggestions, including conditional, text, date & lookup functions

  • Sorting, Filtering & Highlighting

    • Manipulate tables by sorting & filtering using natural language and apply conditional formatting rules to highlight key data points

  • Analyzing Data

    • Find insights by asking Copilot to analyze your data and generate pivot tables, charts & graphs, and data-driven recommendations

  • BONUS: Ask for Support

    • Leverage Copilot’s generative AI engine to get Excel pro tips and expert advice beyond its core capabilities

Ready to dive in? Join today and get immediate

Happy learning.

-Enrique Ruiz (Certified Excel Expert & Best-Selling Instructor, Maven Analytics)

Looking for our full business intelligence stack? Search for "Maven Analytics" to browse our full course library, including Excel, Power BI, MySQL, Tableau and Machine Learning courses.

See why our courses are among the TOP-RATED on Udemy:

"Some of the BEST courses I've ever taken. I've studied several programming languages, Excel, VBA and web dev, and Maven is among the very best I've seen. " Russ C.

"This is my fourth course from Maven Analytics and my fourth 5-star review, so I'm running out of things to say. I wish Maven was in my life earlier. " Tatsiana M.

"Maven Analytics should become the new standard for all courses taught on Udemy. " Jonah M.

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What's inside

Learning objectives

  • Enable copilot pro for microsoft 365 and learn about its strengths and limitations
  • Create calculated columns using natural language and leverage copilot's formula suggestions
  • Apply basic and advanced conditional formatting rules to highlight key data using copilot
  • Find insights by asking copilot to analyze your data and generate pivot tables, charts, and data-driven recommendations
  • Use copilot's generative ai engine to solve more custom or advanced use cases

Syllabus

Getting Started
Course Structure & Outline
READ ME: Important Notes for New Students
DOWNLOAD: Course Resources
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Read about what's good
what should give you pause
and possible dealbreakers
Taught by an instructor who develops products using the industry-leading Office 365 software
Explores the fundamentals of Excel and expands on them with more advanced applications to real-world scenarios
Teaches how to analyze data and generate insights using industry leading spreadsheet software
The instructor is a certified expert in Excel and a best-selling instructor on a popular online learning platform
Introduces Copilot for Excel and provides a thorough overview and explanation of its features and uses
Provides exercises and examples to solidify the concepts and enhance practical application

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Reviews summary

Mastering excel ai with copilot

According to learners, this course offers a highly practical and hands-on approach to leveraging Microsoft Copilot for Excel. Many highlight the instructor's clear explanations and deep expertise, making complex AI concepts accessible. Students find the course particularly valuable for its focus on real-world data analysis problems, covering essential features like formula columns, conditional formatting, and pivot tables. While largely praised for its foundational strength, a few learners suggest a desire for more in-depth coverage on advanced topics. The course effectively introduces Copilot's capabilities and limitations, proving beneficial for professionals aiming to enhance their Excel productivity with AI.
Provides solid basics of Copilot for various Excel tasks.
"Good introduction to Copilot for Excel. The course provides a solid overview of its capabilities..."
"A game changer! Learning how to generate Python code in Excel with Copilot was mind-blowing."
"The course structure is logical, and the project-based approach makes learning very effective."
Instructor's explanations are highly praised for clarity.
"Enrique is a fantastic instructor, very knowledgeable and explains complex concepts simply."
"Excellent course! Clear explanations, hands-on practice, and very relevant to current data analysis trends. The instructor's expertise shines through."
"I appreciated the detailed breakdown of Copilot's features and how to integrate them into daily tasks."
Directly applicable to real-world data analysis tasks.
"This course is incredibly practical and clear. I especially loved the hands-on demos on how to use Copilot for formula columns and pivot tables."
"As an HR professional, this course was directly applicable to my job. The examples using employee data were perfect."
"Super practical! The instructor demystifies Copilot and shows exactly how to use it in real-world scenarios."
Learners acknowledge Copilot's occasional finicky nature.
"While Copilot is interesting, I found some of the limitations a bit frustrating, which isn't the course's fault..."
"My only critique is that Copilot itself can be a bit finicky sometimes, which isn't the course's fault."
"The course effectively covers basic features and limitations of Copilot."
Some wished for more advanced examples and detailed coverage.
"I was hoping for more in-depth coverage. Some topics felt superficial, and I already knew most of the basic Excel functions."
"Decent course, but felt a bit rushed in some areas, especially the advanced topics like dynamic arrays."
"I wish there were more advanced examples beyond the HR admin scenario."

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 Microsoft Copilot for Excel: AI-Powered Data Analysis with these activities:
Review data formats and definitions
Begin by reviewing the basics of data formats and definitions to better understand the course content.
Browse courses on Data Formats
Show steps
  • Revisit common data formats such as CSV, JSON, and XML.
  • Review basic data structures like arrays, lists, and dictionaries.
Review and Practice Data Analytics Basics
Refresh your knowledge of data analytics fundamentals like data collection, data cleaning, and exploratory data analysis to prepare for this course.
Show steps
  • Review concepts of data types, data structures, and data collection methods.
  • Practice basic data manipulation techniques using Excel or other tools.
  • Experiment with data visualization techniques to represent data insights.
Participate in a study group
Join a study group to discuss course concepts, work on projects together, and reinforce your understanding.
Browse courses on Collaboration
Show steps
  • Find a group of peers with similar interests and goals.
  • Meet regularly to discuss course material, ask questions, and share insights.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice creating formulas in Excel
Work on practice problems to solidify your understanding of Excel formulas and functions.
Browse courses on Excel Formulas
Show steps
  • Use Excel's formula builder to create basic formulas.
  • Practice using a variety of formula functions, such as SUM, AVERAGE, and IF.
Explore advanced Excel features
Seek out tutorials to learn more advanced Excel features, such as macros, pivot tables, and data validation.
Browse courses on Advanced Excel
Show steps
  • Identify areas where you want to improve your Excel skills.
  • Find online tutorials or courses that cover these topics.
  • Follow along with the tutorials and practice using the new features.
Create a data analysis dashboard
Develop a data analysis dashboard in Excel to showcase your proficiency in data visualization and analysis.
Browse courses on Data Visualization
Show steps
  • Gather and prepare data for your dashboard.
  • Use Excel's charting and graphing features to create visualizations.
  • Combine visualizations and other elements to create a comprehensive dashboard.
Develop a data analysis report
Compile a data analysis report to consolidate your learning and demonstrate your ability to analyze data and communicate insights.
Browse courses on Data Analysis
Show steps
  • Choose a dataset to analyze.
  • Use Excel to analyze the data and draw conclusions.
  • Write a report that summarizes your findings.

Career center

Learners who complete Microsoft Copilot for Excel: AI-Powered Data Analysis will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 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 Microsoft Copilot for Excel: AI-Powered Data Analysis.
This classic book by Edward Tufte must-read for anyone interested in data visualization. It covers a wide range of topics, from the principles of visual perception to the design of effective charts and graphs.
Seminal work on the grammar of graphics, a formal language for describing data visualizations. It covers a wide range of topics, from the basics of the grammar of graphics to the use of the grammar of graphics to create a variety of charts and graphs.
The third edition of the essential guide to data wrangling with pandas, NumPy, and Jupyter in Python. Updated for newer versions of the libraries, this book remains a core resource for anyone performing data analysis in Python. It widely used textbook and reference for its clear explanations and practical examples.
Provides a comprehensive guide to integrating Microsoft 365 Copilot into daily workflows to enhance productivity. It covers AI fundamentals, how Copilot works with Microsoft 365 apps, and practical implementation strategies. It's suitable for both beginners and experienced users looking for a hands-on roadmap.
By Stephen Few, another pioneer in the field of data visualization, provides practical guidance on how to choose the right chart type for different types of data and messages. It is an essential resource for anyone who wants to create effective data visualizations.
More than just a basic Excel guide, this book focuses on applying Excel to real-world data analysis and business problems. It's ideal for those looking to deepen their understanding of using Excel for practical applications, including newer features like dynamic arrays and Power Query. is commonly used as a textbook and strong reference for business professionals.
A step-by-step guide for professionals to improve productivity using Microsoft 365 Copilot in core applications like Excel, Word, PowerPoint, and Teams. It covers AI fundamentals, technical setup, prompt engineering, and data security. is valuable as a practical reference tool for daily use.
This practical guide is specifically tailored for those interested in financial modeling using Excel. It provides step-by-step instructions and focuses on applying Excel features to solve common business and financial problems. It's a valuable resource for students and professionals in finance and business roles looking to solidify their modeling skills.
A recent edition of a popular series, this book covers pivot tables with an emphasis on new features like Dynamic Arrays, Power Query, and Copilot. It provides updated techniques for data crunching and reporting, making it highly relevant for users of the latest Excel versions. valuable resource for staying current with contemporary pivot table capabilities.
Combines financial analysis and modeling concepts with the application of Excel and VBA. It's a valuable resource for those in finance who want to leverage Excel's power for complex analysis and automation. It deepens understanding by integrating financial theory with practical Excel implementation.
Focuses specifically on Power Query, a powerful tool within Excel and Power BI for connecting, transforming, and combining data from various sources. It's highly relevant for contemporary data analysis workflows and is essential for users who need to clean and prepare data efficiently before analysis. This book adds significant depth to data manipulation skills within Excel.
Offers a thorough walkthrough of Copilot for Microsoft 365, including an introduction to generative AI, large language models, and responsible AI. It details how to use Copilot in various Microsoft 365 apps to increase productivity. It is particularly useful for beginners and provides clear, step-by-step examples.
Is highly recommended for those who want to master financial modeling in Excel. It simplifies complex financial concepts and provides in-depth techniques for building, developing, and deploying financial models. It's a valuable resource for finance professionals and students seeking to deepen their financial modeling expertise.
Offers a detailed look at Power Query, focusing on practical techniques for data collection, combination, and transformation. It's an essential resource for anyone dealing with messy data and provides valuable skills for efficient data preparation in Excel and Power BI. This book significantly deepens understanding of data wrangling.
Comprehensive guide covering a vast range of Excel topics from beginner to advanced levels. It's an excellent resource for gaining a broad understanding of Excel's capabilities and serves as a valuable reference tool for various functions, formulas, and features. While published in 2018, its foundational content remains highly relevant for solidifying core Excel skills.
Focuses on modern data analysis techniques within Excel, including Power Query and Power Pivot. It's a contemporary resource for users looking to update their data cleaning and reporting processes and perform more rigorous data analysis directly within Excel. It's highly relevant for professionals working with data regularly.
Provides a foundational understanding of the fundamental principles of data science and the data-analytic thinking necessary for extracting value from data in a business context. It is highly relevant for undergraduate business analytics programs and working professionals. It serves as a useful reference for understanding the business applications of data analysis and is commonly used as a textbook.
Considered a classic in financial modeling, this book focuses entirely on using Excel to implement financial models. It's a thorough resource for those seeking a deep understanding of financial modeling principles and their practical application in Excel, drawing on real-world company data.
Provides a comprehensive overview of data visualization, covering the basics of visual perception, data types, and chart types. It great resource for beginners who want to learn the fundamentals of data visualization.
Provides a comprehensive introduction to the Plotly graphing library in Python, covering everything from basic chart types to advanced interactive features. It is an excellent resource for data scientists, analysts, and anyone who wants to create beautiful and informative charts.
This comprehensive 'Bible' covers all aspects of Excel 365, with dedicated sections on pivot tables and related features like Power Query and Power Pivot. It's an excellent all-in-one reference for users of the subscription version of Excel, providing in-depth coverage of both basic and advanced functionalities.
A straightforward guide to using Microsoft Copilot integrated with Windows and Microsoft 365 apps. It teaches how to write effective prompts, enhance output, and apply Copilot functions to various tasks. is an excellent starting point for beginners and home users.
Delves specifically into the powerful world of Excel array formulas, which are essential for advanced formula writing and complex calculations. It is valuable for those looking to deepen their understanding and tackle more challenging problems in Excel. It is considered a key resource for mastering array formulas.
Offers a visual and comprehensive guide specifically focused on pivot tables. It aims to cover all aspects of this feature, making it a deep dive for those who want to master pivot table creation and manipulation. Its visual approach makes it accessible for learners of varying levels.
This manual provides a user-friendly guide to understanding and utilizing Microsoft Copilot AI within the Office 365 environment on Windows. It focuses on the integration and capabilities of Copilot, making it a practical resource for users looking to leverage AI in their daily Office tasks.
Is ideal for those new to Excel formulas and functions, providing clear explanations and step-by-step guidance. It helps solidify fundamental concepts and good starting point before diving into more complex topics. It is often recommended for beginners and intermediate users.
Offers a step-by-step approach to learning Microsoft Copilot Pro for enhanced creativity and productivity. It focuses on writing effective prompts and getting started with the necessary skills. It practical guide for users who want to maximize their use of Copilot Pro.
Focuses on the crucial skill of communicating insights from data effectively through compelling visualizations. is highly relevant for all levels, emphasizing the importance of clear and impactful data presentation. It is valuable additional reading that complements technical data analysis skills.
This handbook provides a solid foundation in financial modeling concepts and their implementation, often using Excel as a tool. It's a good resource for those who want to understand the theory behind financial models while also learning how to build them practically. It's suitable for both students and professionals.
Bridges the gap between statistical theory and its practical application in data science using R and Python. It focuses on the statistical concepts most relevant to data scientists and provides code examples. It's a useful reference and learning resource for those applying statistics in their work.
Is for users who want to leverage the power of Power BI and Power Pivot for more advanced data analysis and business intelligence. It delves into data modeling and DAX formulas, which are essential for creating sophisticated reports and dashboards using pivot tables and related technologies. It is geared towards users with a solid foundation in Excel and pivot tables.
Offers a new way of thinking about data science and ethics informed by intersectional feminist thought. It challenges existing power structures within data and explores how data can be used to work towards justice. It's highly relevant for contemporary discussions around fairness and bias in data analysis.
An updated guide to VBA and macros in the latest Excel versions, this book strong resource for automating tasks and extending Excel's functionality. It's suitable for users who want to move beyond basic formula and function usage and into more powerful automation.
Is an excellent starting point for anyone new to data analysis or statistics. It demystifies core statistical concepts without relying heavily on mathematical formulas, making it highly accessible for high school and undergraduate students. It provides a strong foundation in the intuition behind statistical analysis and helps readers understand how data can be used and misused. This is valuable background reading that builds prerequisite knowledge.
While not solely an Excel book, 'Data Smart' must-read for anyone in data analysis. It provides a comprehensive guide to using data analysis techniques and tools, including how Excel can be used in real-world scenarios. It helps contextualize Excel within the broader field of data science and is valuable for both beginners and experienced professionals.
A concise and practical guide for absolute beginners, this book introduces the basic interface, creating worksheets, using simple formulas, and basic data manipulation. It's an excellent starting point for those with no prior Excel experience and helps build foundational knowledge.
Provides a comprehensive overview of speech and language processing, covering topics such as phonetics, phonology, morphology, syntax, semantics, and pragmatics. It is written in a clear and concise style and includes numerous exercises and examples.
Another visual guide by Paul McFedries, this book focuses on data analysis techniques in Excel, with a strong emphasis on using pivot tables and charts. It is designed for Excel power users who want to enhance their analytical skills through clear, visual explanations. good reference for practical application of pivot tables in data analysis.
Focuses on using pivot tables to create dashboards, which common application in business. It guides users through the process of transforming raw data into interactive reports and visualizations using pivot tables. This book is particularly relevant for professionals who need to create summary reports and dashboards.
Introduces data visualization using Python and JavaScript, covering a wide range of chart types and techniques. It practical guide for anyone who wants to learn how to create effective data visualizations.
This guide explores Microsoft Copilot AI, its integration with Microsoft 365 and Azure, and its application in building online businesses. It provides insights into leveraging AI for productivity and gaining a competitive edge. It's suitable for those interested in the business applications of Copilot.
Provides a guide to creating effective and aesthetically pleasing data visualizations. It delves into the principles behind good visualization design, helping readers make informed choices about how to represent their data. It valuable reference for anyone creating visualizations, from students to professionals.
Teaches probability and statistics using a computational approach with Python. It's ideal for students and professionals with programming experience who want to understand statistical concepts by doing. It helps solidify understanding through hands-on application.
A guide aimed at quickly improving Excel skills from beginner to advanced, covering recent features and practical data analysis techniques. is useful for those seeking an up-to-date resource with a focus on practical application and a faster learning curve.
Provides a practical guide to data visualization. It covers a wide range of chart types and techniques, and it includes many real-world examples. It good resource for anyone who wants to learn how to create effective data visualizations quickly and easily.
A beginner-friendly introduction to Excel VBA programming, this book is suitable for those new to automation in Excel. It provides clear explanations and examples to help users understand the fundamentals of creating macros and custom functions. It's a good starting point before moving to more advanced VBA resources.

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