Microsoft Excel - Data Viz with Excel Charts & Graphs

Master 20+ chart types in Excel 2016 with hands-on exercises, advanced demos, PDF downloads & 1-on-1 instructor support
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  • Lectures 41
  • Length 4.5 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 7/2016 English

Course Description

*** Course includes 20+ free PDF downloads and 30+ hands-on Excel exercises and advanced demos ***

Ask people what comes to mind when they think of Excel, and odds are they'll say "spreadsheets". The truth is, Excel is an incredibly powerful, robust, 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 when, why, and how to use each chart type, introduce key data visualization best practices, and guide you through interactive, hands-on demos and exercises every step of the way.

We'll kick things off by exploring each of the 20+ chart types that Excel 2016 has to offer, including: 

  • Bar & Column charts
  • Histograms & Pareto charts
  • Line charts & trend lines 
  • Area charts
  • Pies & Donuts
  • Scatter plots & Bubble charts
  • Box & Whisker charts
  • Tree Maps & Sunbursts
  • Waterfall & Funnel charts
  • Radar & Stock charts
  • Heat maps, 3-D Surface & contour charts
  • Chloropleths & Geospatial maps
  • Custom combo charts & graphs
  • Sparklines
  • And more...


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 YouTube; 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.

Whether you're looking for a quick primer, trying to diversify your Excel skill set, or hoping to step up your data viz game in a major way, this course is for you. In fact, if you don't learn something brand new in this course, I will make sure you get your money back AND give you a virtual high-five for checking it out. You literally can't lose.

What are the requirements?

  • Microsoft Excel, ideally 2016 for PC (some charts are not available in earlier versions of Excel)
  • Mac users are welcome, but note that the user experience will be significantly different across platforms

What am I going to get from this course?

  • 20+ downloadable PDF handouts, course quizzes, and 30+ hands-on Excel demos
  • A step-by-step, 100% comprehensive guide to visualizing data using charts & graphs in Excel
  • A deep understanding of WHEN, WHY, and HOW to use 20+ chart types in Excel 2016
  • Exclusive data visualization tips, tricks, and best practices from an award-winning analytics expert
  • Unique, custom content that you won't find in ANY other course

What is the target audience?

  • Anyone looking to create beautiful, custom data visualizations in Excel
  • Excel users who have basic skills but want to master advanced charts, graphs & dashboards
  • Students looking for an engaging, hands-on, and highly interactive approach to training

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Before We Dive In
Course Structure & Outline
Preview
02:03
Section 2: Data Visualization Best Practices
02:45

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.

03:44

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. 

01:49

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.

Section 3: Customizing Charts in Excel
Setting Expectations
01:02
06:20

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

05:27

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. 

03:03

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.

04:06

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

Chart Customization
5 questions
Section 4: Mastering Basic Charts & Graphs
08:49

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.

05:58

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.

05:16

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.

04:41

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.

12:04

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.

07:30

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.

06:36

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.

06:05

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.

06:36

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

03:17

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.

03:42

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.

07:56

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.

07:18

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.

04:41

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.

07:35

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.

05:28

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.

07:57

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.

02:07

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

Basic Chart Types
10 questions
Section 5: Next-Level Data Visualization Exercises
Setting Expectations
01:40
06:01

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

05:02

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

07:08

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

12:30

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.

14:20

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. 

16:10

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

12:08

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.

10:09

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

10:26

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

10:22

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

09:58

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.

07:16

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 Data Visualization Techniques
4 questions
Section 6: Wrapping Up
Additional Resources & Next Steps
02:38

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Instructor Biography

Chris Dutton, Analytics Consultant & Founder, Excel Maven

Chris Dutton is a Certified Microsoft Excel Expert and Analytics Consultant with nearly a decade of experience working with Fortune 500 companies across automotive, retail, insurance, and travel verticals. Specializing in B.I. and data visualization, Chris founded Excel Maven in 2014 to deliver high-quality, hands-on training to students across the country.

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