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Maven Analytics and Chris Dutton

Excel is an incredibly powerful and dynamic data visualization platform for those willing to think beyond rows, columns, and primitive pie charts, and I'm here to prove it.

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Excel is an incredibly powerful and dynamic data visualization platform for those willing to think beyond rows, columns, and primitive pie charts, and I'm here to prove it.

This course gives you a deep, 100% comprehensive understanding of Excel's latest data visualization tools and techniques. I'll show you

We'll kick things off by exploring each of the 20+ charts & graphs in Excel, including: 

  • Bar & Column charts

  • Histograms & Pareto charts (Office 365, Excel 2016 or Excel 2019)

  • Line charts, Area charts & trend lines

  • Pies & Donuts

  • Scatter plots & Bubble charts

  • Box & Whisker charts (Office 365, Excel 2016 or Excel 2019)

  • Tree Maps & Sunbursts (Office 365, Excel 2016 or Excel 2019)

  • Waterfall & Funnel charts (Office 365, Excel 2016 or Excel 2019)

  • Radar & Stock charts

  • Heat maps, 3-D Surface & Contour charts

  • Choropleths & Geospatial maps

  • Custom Combo Charts

  • Sparklines

From there we'll dive into a series of 12+ advanced Excel demos guaranteed to turn you into an absolute data viz rockstar. These aren't "textbook" demos that you can find on Excel YouTube channels; these are projects adapted from actual, award-winning work featured by Microsoft, MIT, and the New York Times. I've built my analytics career around data visualization, and I can help you do the same.

We'll cover advanced Excel data viz topics that you won't find anywhere else, including:

  • Custom image overlay charts

  • Automation with named ranges and OFFSET/COUNTA functions

  • Scroll & Zoom functionality with Excel form controls

  • Animated charts to visualize changes over time

  • Dynamic, custom Excel dashboards

  • Value-based chart formatting

  • Custom gauge charts & pacing charts

  • Grid visuals using Excel array formulas

Whether you're looking for a quick primer, trying to diversify your Excel skill set, or hoping to step up your Excel data visualization game in a major way, this course is for you.

See you there.

-Chris (Founder, Maven Analytics)

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

Hear why this is one of the TOP-RATED Excel courses on Udemy, and the #1 Excel Data Visualization course:

"Absolutely great stuff. I really enjoyed it.  Chris is truly a Excel guru. I strongly recommend this course to all users looking to improve their skills with Excel charts & graphs."

Nirav M.

"Excellent from start to finish. I picked up a bunch of Excel data visualization tips that will be useful in the workplace, including some very cool advanced Excel visuals and custom charts & graphs. Loved all of it, and hope I can learn more from this wonderful individual. "

Robert C.

"At the first part I just said to myself, "Wow, Excel is capable of that? It's amazing. " Then at the second part I told myself "This guy is doing magic. ", and now I feel like I'm capable of doing the same. I'm definitely buying his other Excel and data visualization courses. "

Judit B.

NOTE: Full course includes downloadable resources and Excel project files, homework and course quizzes, lifetime access and a 30-day money-back guarantee. Most lectures compatible with Excel 2016, Excel 2019 or Office 365.

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What's inside

Learning objectives

  • Understand when, why, and how to use 20+ chart types in excel 2016+
  • Learn advanced excel tools like automated dashboards, scrolling charts, dynamic formats, and more
  • Master unique tips, tools and case studies that you won't find in any other excel course, guaranteed
  • Explore fun, interactive, and highly effective lessons from a best-selling excel instructor
  • Get lifetime access to project files, quizzes, homework exercises, and 1-on-1 expert support
  • Build 10+ excel projects designed to take your data visualization skills to the next level

Syllabus

Getting Started
Course Structure & Outline
READ ME: Important Notes for New Students
DOWNLOAD: Course Resources
Read more
Setting Expectations
Learn the keys to designing exceptional visualizations

Data visualization is about creating clear, powerful narratives and striking a balance between design and function. This lecture reviews several key data visualization principles and demonstrates the "10-Second Rule" to test the effectiveness of a given chart or graph.

This lecture covers several examples of strong, weak, and just plain ugly data visualizations. Learn about the importance of using chart elements effectively, minimizing noise, and choosing the correct chart types. 

This lecture reviews the three key questions that you should ask yourself when designing data visualizations, including what type of data are you working with, what you're trying to communicate, and who will be the end user consuming the information.

Review chart elements, formatting options, and custom templates in Excel

This lecture serves as a quick review of chart customization in Excel 2016, including chart elements, layout options, colors and styles. 

This lecture reviews basic chart formatting options, including applying options in both the format ribbon and formatting pane as well as customizing individual chart elements. 

This lecture reviews when and how to change chart types in Excel, and demonstrates several methods of adding a secondary chart axis to visualize multiple data series.

This lecture demonstrates how to create and save new chart templates in Excel 2016.

Excel Chart Customization
Explore each of the 20+ chart types in Excel with interactive, hands-on exercises

This lecture reviews when, why, and how to use bar and column charts in Excel (basic, stacked, and clustered), including pro tips, sample data sets, and hands-on exercises in Excel 2016.

HOMEWORK: Bar & Column Charts

This lecture reviews when, why, and how to use histograms and pareto charts in Excel, including pro tips, sample data sets, and hands-on exercises in Excel 2016.

HOMEWORK: Histograms & Pareto Charts

This lecture reviews when, why, and how to use line charts and trendlines (linear, logarithmic, polynomial, etc) in Excel, including pro tips, sample data sets, and hands-on exercises in Excel 2016.

HOMEWORK: Line Charts & Trendlines

This lecture reviews when, why, and how to use area charts in Excel, including pro tips, sample data sets, and hands-on exercises in Excel 2016.

HOMEWORK: Area Charts

This lecture reviews when, why, and how to use pie, donut, and custom race track charts and visualizations in Excel, including pro tips, sample data sets, and hands-on exercises in Excel 2016.

HOMEWORK: Pies, Donuts & Race Tracks

This lecture reviews when, why, and how to use scatter plots in Excel, including pro tips, sample data sets, and hands-on exercises in Excel 2016.

This lecture reviews when, why, and how to use bubble charts in Excel, including pro tips, sample data sets, and hands-on exercises in Excel 2016.

HOMEWORK: Scatter Plots & Bubble Charts

This lecture reviews when, why, and how to use box & whisker charts and graphs in Excel, including pro tips, sample data sets, and hands-on exercises in Excel 2016.

HOMEWORK: Box & Whisker Charts

Excel's Tree Map and Sunburst charts are ideal for visualizing hierarchical data that falls into natural groups and subgroups. In this demo, we'll explore movie titles and employee records to practice building and customizing our own tree maps and sunbursts.

HOMEWORK: Tree Maps & Sunburst Charts

This lecture reviews when, why, and how to use waterfall charts in Excel, including pro tips, sample data sets, and hands-on exercises in Excel 2016.

This lecture reviews when, why, and how to use funnel charts in Excel, including pro tips, sample data sets, and hands-on exercises in Excel 2016.

HOMEWORK: Waterfall & Funnel Charts

This lecture reviews when, why, and how to use radar charts in Excel, including pro tips, sample data sets, and hands-on exercises in Excel 2016. This lecture also covers the importance of normalizing data sets to create consistent scales and more effective visualizations.

HOMEWORK: Radar Charts

This lecture reviews when, why, and how to use stock charts in Excel, including pro tips, sample data sets, and hands-on exercises in Excel 2016.

HOMEWORK: Stock Charts

This lecture reviews when, why, and how to use cell-formatted heat maps in Excel, including pro tips, sample data sets, and hands-on exercises in Excel 2016.

HOMEWORK: Heat Maps

This lecture reviews when, why, and how to use surface and contour charts in Excel, including pro tips, sample data sets, and hands-on exercises in Excel 2016.

HOMEWORK: Surface & Contour Charts

This lecture serves as a brief introduction to Excel's Power Map tool, and reviews a sample exercise showcasing state-level geo-spatial mapping in Excel 2016.

HOMEWORK: Power Map

This lecture reviews when, why, and how to use combo charts in Excel, and reviews sample exercises showcasing combinations of line, column, and stacked area charts in Excel 2016.

HOMEWORK: Combo Charts

This lecture reviews when, why, and how to use cell sparklines in Excel, including a hands-on demo in Excel 2016.

HOMEWORK: Sparklines
Basic Excel Chart Types
Master advanced techniques to create powerful interactive visualizations in Excel

This Excel demo showcases how you can combine basic stacked column charts with custom graphics to create image overlay charts.

This Excel demo showcases how to use binary values and stacked column charts to highlight specific dates or date ranges within a chart.

This Excel demo showcases how to use OFFSET and COUNTA functions within named ranges to dynamically update charts as new data points are added.

This Excel demo showcases how to use scrollbar form controls, OFFSET functions, and named arrays to create charts that users can dynamically scroll and zoom.

This Excel demo shows you how to create a dynamic source array using basic SUMIFS functions, and combine form controls with data validation lists to create charts that show animation over time. 

In this Excel demo, users will populate a sample dashboard using SUMIFS functions, data validation lists, custom conditional formatting rules, and combo charts.

This Excel demo builds on the previous dashboard example, and showcases how to create dynamic charts and graphs that can display different metrics based on user-selected values.

This Excel demo showcases how to create formula-based chart formatting rules to highlight data points based on underlying values.

In this Excel demo, users will learn how to create charts and graphs that dynamically highlight specific data series based on user-selected values.

This Excel demo is all about using combo charts and creative formatting to design a custom pacing chart.  

In this Excel demo, we'll combine a donut chart with a scatter plot and incorporate some trigonometry functions to build a custom gauge & needle effect.

This Excel demo showcases how array functions and scatter plots can be used to build a custom percentage visualization built from 100 individual data markers.

Advanced Excel Data Visualization Techniques
Wrapping Up
BONUS LESSON

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops professional skills or deep expertise in data visualization
Taught by Chris Dutton and Maven Analytics, who are recognized for their work in data visualization
Covers unique perspectives are ideas that may add color to other topics and subjects
Takes a creative approach to an otherwise established topic, field, or subject
Teaches tools that are highly relevant to industry
Teaches tools that are highly relevant in an academic setting

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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 Excel: Data Visualization, Excel Charts & Graphs with these activities:
Review Excel Charting Fundamentals
Review the fundamentals of Excel charting, solidifying your understanding of basic chart types, formatting options, and data visualization principles.
Browse courses on Data Visualization
Show steps
  • Access course materials or online resources on Excel charting
  • Review concepts such as chart types, axes, legends, and data labels
  • Practice creating and customizing basic charts in Excel
Excel Chart Type Matching Quiz
Take a quiz to test your knowledge of different Excel chart types and their appropriate uses, reinforcing your understanding of data visualization principles.
Show steps
  • Access the quiz online or through the course platform
  • Match various chart types with their corresponding descriptions or data sets
  • Review your results and learn from any mistakes
Excel Power BI Integration Tutorial
Follow a guided tutorial to learn how to integrate Excel with Power BI, expanding your data visualization capabilities and creating more powerful reports.
Browse courses on Data Visualization
Show steps
  • Install the Power BI add-in for Excel
  • Connect Excel data to Power BI
  • Create and customize Power BI visualizations
  • Publish and share Power BI reports
  • Explore additional features and resources for Excel-Power BI integration
Four other activities
Expand to see all activities and additional details
Show all seven activities
Excel Data Visualization Study Group
Join or organize a study group with peers to discuss advanced Excel data visualization techniques, share tips, and work on projects together.
Browse courses on Data Visualization
Show steps
  • Find or create a study group with like-minded individuals
  • Set regular meeting times and establish a study plan
  • Discuss course concepts, share resources, and work on group projects
  • Provide feedback and support to each other
  • Evaluate progress and make adjustments to the study plan as needed
Custom Excel Chart Tutorial
Create a step-by-step tutorial demonstrating how to create a custom Excel chart, showcasing your knowledge of advanced formatting and design techniques.
Browse courses on Data Visualization
Show steps
  • Choose a suitable chart type and data set
  • Customize chart elements and formatting
  • Add additional features such as annotations or trendlines
  • Record and edit a screencast tutorial
  • Share the tutorial on a platform like YouTube or LinkedIn
Interactive Excel Dashboard Template
Build a custom Excel dashboard from scratch to practice your data visualization skills and gain hands-on experience with advanced Excel features.
Browse courses on Data Visualization
Show steps
  • Gather data and determine dashboard requirements
  • Design the dashboard layout and visuals
  • Create and format charts and graphs
  • Add interactivity and dynamic elements
  • Test and refine the dashboard
Contribute to the Excel-DNA Open-Source Project
Contribute to the open-source Excel-DNA project, gaining hands-on experience with advanced Excel customization and extending your knowledge of .NET development.
Show steps
  • Familiarize yourself with the Excel-DNA project and its documentation
  • Identify an area for contribution or propose a new feature
  • Develop and test your code contributions
  • Submit a pull request to the Excel-DNA repository
  • Collaborate with the Excel-DNA community

Career center

Learners who complete Microsoft Excel: Data Visualization, Excel Charts & Graphs will develop knowledge and skills that may be useful to these careers:
Business Intelligence Analyst
Business Intelligence Analysts provide valuable insights to businesses by analyzing data and identifying trends. They use data visualization tools to present complex data in a clear and concise manner. This course provides a thorough understanding of Excel's data visualization capabilities, including advanced techniques for creating interactive and dynamic dashboards. With the skills gained from this course, Business Intelligence Analysts can effectively communicate data insights to stakeholders and support informed decision-making.
Data Analyst
Data Analysts play a key role in making data-driven decisions that improve business outcomes. They collect, analyze, and interpret data to identify trends, patterns, and insights. This course provides a comprehensive understanding of Excel's data visualization tools and techniques that can help Data Analysts effectively present and communicate data to stakeholders. The advanced techniques covered, such as custom image overlay charts, automated dashboards, and dynamic formatting, empower Data Analysts with the skills to create visually impactful and actionable visualizations.
Data Scientist
Data Scientists use their expertise in data analysis, machine learning, and statistics to solve complex business problems. They often work with large datasets and require proficiency in data visualization techniques to communicate their findings. This course provides a solid foundation in Excel's data visualization tools, along with advanced techniques such as custom chart formatting and grid visuals using Excel array formulas. These skills empower Data Scientists to create compelling data visualizations that effectively convey insights and support data-driven decision-making.
Financial Analyst
Financial Analysts use data analysis and visualization techniques to assess financial performance, make investment recommendations, and develop financial models. This course provides a comprehensive understanding of Excel's charts and graphs, including advanced features like custom gauge charts and value-based chart formatting. These skills enable Financial Analysts to present complex financial data in a clear and impactful way, supporting informed investment decisions and financial planning.
Marketing Analyst
Marketing Analysts use data to understand customer behavior, market trends, and campaign effectiveness. They rely on data visualization tools to effectively communicate their findings to stakeholders. This course provides a deep understanding of Excel's data visualization capabilities, including advanced techniques for creating custom combo charts and sparklines. These skills empower Marketing Analysts to create visually engaging and informative dashboards that support data-driven marketing strategies.
Project Manager
Project Managers oversee the planning, execution, and completion of projects. They often use data visualization techniques to track project progress, identify risks, and communicate project status to stakeholders. This course provides a solid foundation in Excel's data visualization tools, including advanced features such as automated charts with named ranges and scroll & zoom functionality. These skills enable Project Managers to create visually compelling and informative project dashboards that effectively communicate project data and support successful project completion.
Operations Analyst
Operations Analysts use data analysis techniques to improve operational efficiency and productivity. They leverage data visualization tools to communicate their findings and recommendations to stakeholders. This course provides a comprehensive understanding of Excel's data visualization capabilities, including advanced techniques for creating animated charts and dynamic dashboards. With these skills, Operations Analysts can effectively communicate complex operational data and insights, supporting informed decision-making and operational improvements.
Data Visualization Specialist
Data Visualization Specialists focus on creating clear and effective data visualizations to communicate insights and support decision-making. This course provides a comprehensive understanding of Excel's data visualization capabilities, from basic charts to advanced techniques like tree maps, sunbursts, and geospatial maps. With the skills gained from this course, Data Visualization Specialists can create visually impactful and actionable visualizations that effectively convey data insights to stakeholders.
Information Architect
Information Architects design and organize the structure and presentation of information to improve user experience and accessibility. They often use data visualization techniques to communicate their ideas and recommendations to stakeholders. This course provides a solid foundation in Excel's data visualization capabilities, enabling Information Architects to effectively present complex data in a clear and concise manner. The advanced techniques covered, such as custom image overlay charts and dynamic dashboards, empower them to create visually impactful and actionable visualizations that support informed decision-making.
Business Consultant
Business Consultants provide advice and guidance to businesses on a wide range of issues, including strategy, operations, and technology. They often use data visualization techniques to communicate their findings and recommendations to clients. This course provides a solid foundation in Excel's data visualization tools, enabling Business Consultants to effectively present complex data in a clear and concise manner. The advanced techniques covered, such as custom image overlay charts and dynamic dashboards, empower them to create visually impactful and actionable visualizations that support informed business decisions.
User Experience (UX) Designer
User Experience (UX) Designers focus on improving the user experience of products and services. They often use data visualization techniques to understand user behavior and preferences. This course provides a solid foundation in Excel's data visualization capabilities, enabling UX Designers to effectively present complex data in a clear and concise manner. The advanced techniques covered, such as custom image overlay charts and dynamic dashboards, empower them to create visually impactful and actionable visualizations that support informed design decisions.
Technical Writer
Technical Writers create documentation and instructions for software, products, and services. They often use data visualization techniques to explain complex technical concepts in a clear and concise manner. This course provides a solid foundation in Excel's data visualization capabilities, enabling Technical Writers to effectively present complex data in a clear and concise manner. The advanced techniques covered, such as custom image overlay charts and dynamic dashboards, empower them to create visually impactful and actionable visualizations that support improved user understanding.
Market Researcher
Market Researchers conduct research to understand customer needs, preferences, and behaviors. They often use data visualization techniques to communicate their findings to stakeholders. This course provides a solid foundation in Excel's data visualization capabilities, enabling Market Researchers to effectively present complex data in a clear and concise manner. The advanced techniques covered, such as custom image overlay charts and dynamic dashboards, empower them to create visually impactful and actionable visualizations that support informed marketing strategies.
Web Developer
Web Developers design and develop websites and web applications. They often use data visualization techniques to present data and information in a visually engaging and interactive manner. This course provides a solid foundation in Excel's data visualization capabilities, enabling Web Developers to effectively present complex data in a clear and concise manner. The advanced techniques covered, such as custom image overlay charts and dynamic dashboards, empower them to create visually impactful and actionable visualizations that enhance the user experience of their web applications.
Software Engineer
Software Engineers design, develop, and maintain software applications. They often use data visualization techniques to understand the behavior and performance of their software systems. This course provides a solid foundation in Excel's data visualization capabilities, enabling Software Engineers to effectively present complex data in a clear and concise manner. The advanced techniques covered, such as custom image overlay charts and dynamic dashboards, empower them to create visually impactful and actionable visualizations that support informed software development decisions.

Reading list

We've selected 11 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 Excel: Data Visualization, Excel Charts & Graphs.
Offers a comprehensive framework for understanding and applying visual communication principles in various contexts, including data visualization.
A classic work on data visualization principles, offering insights into how to present data effectively and persuasively.
Provides a comprehensive overview of R, a popular programming language for data science and analytics, with a focus on data visualization.
Offers a comprehensive guide to creating and using charts and graphs in Excel, with an emphasis on communicating insights clearly and effectively.
Provides a comprehensive guide to Excel VBA programming, which can be used to automate and enhance data visualization tasks.
Introduces ggplot2, a powerful R package for data visualization, and provides a comprehensive guide to its use.
A comprehensive guide to Tableau, a leading data visualization software, covering both basic and advanced techniques.
Provides background knowledge on cognitive psychology, which is essential for understanding how individuals perceive and process visual data.

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