Jessica Ko

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing than watching videos and it made me want to keep learning.”

Jessica Ko

Machine Learning Engineer @Twitter

Course overview

This course is part of the “Introduction to Data Analysis with Excel” skill path, which we designed for those seeking the practical skills in Excel to perform data analysis and visualization — and ultimately help organizations make better-informed decisions. We designed it for aspiring data professionals with little experience and learners who use basic Excel in their daily jobs and want to enhance their skills.

In this course, you’ll learn how to use graphs and charts to design insightful data visualizations for your audience. You’ll learn how to use Gestalt principles and pre-attentive attributes and more.

Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser.

Key skills

  • Visualizing data using pie, column, histogram, line, scatter, and combo charts
  • Selecting appropriate data visualizations
  • Creating charts using design principles
  • Designing visualizations for your intended audience

Course outline

Visualizing Data in Excel [5 lessons]

Pie, Column, and Histogram Charts 1h

Lesson Objectives
  • Create pie, column, and histogram charts
  • Create a frequency table
  • Visualize a frequency table using a column chart
  • Visualize grouped frequencies using a histogram chart

Line, Scatter, and Combo Charts 2h

Lesson Objectives
  • Interpret line plots by identifying types of change
  • Visualize correlation using scatter plots
  • Measure and interpret correlation using R-squared
  • Summarize data using the `=AVERAGEIFS()` function
  • Create a data visualization using a combo chart

Design for an Audience 1h

Lesson Objectives
  • Create charts using information design principles
  • Choose the proper chart using the familiarity principle
  • Improve a chart by maximizing the data-ink ratio
  • Create publication-ready charts

Gestalt Principles and Pre-Attentive Attributes 1h

Lesson Objectives
  • Recognize patterns among distinct objects
  • Create data visualizations using Gestalt principles
  • Direct viewers' attention using pre-attentive attributes
  • Use accessible colors

Guided Project: Visualizing the Answer to Stock Questions Using Spreadsheet Charts 1h

Lesson Objectives
  • Import a dataset to an Excel spreadsheet
  • Create a report in Excel using data visualizations and tabular data
  • Represent data using effective data visualizations
  • Apply Gestalt principles and pre-attentive attributes to all visualizations
  • Maximize data-ink ratio in all visualizations

Projects in this course

Guided Project: Visualizing the Answer to Stock Questions Using Spreadsheet Charts

In this project, we will apply the knowledge and skills we developed in the preceding lessons to present stock data clearly and help answer important questions about the underlying data.

The Dataquest guarantee


Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.


We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

Master skills faster with Dataquest

Go from zero to job-ready

Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Showcase your path certification

Impress employers by completing a capstone project and certifying it with an expert review.

Learning resources

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Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”


Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”


Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”

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