“For me, Dataquest was great because it was all hands-on projects — there weren’t any videos, so I could just read through and go at my own pace.”

Isaac Pato

Data Science / Quality Engineer @Cirium

Course overview

This particular course is for intermediate Python users, and it builds upon the essentials covered in our previous Python visualization lessons. You’ll learn how to use Python libraries like Matplotlib and Seaborn to transform raw data into compelling and actionable visualizations. You’ll learn the most common data visualization techniques, and you’ll use Python to generate beautiful, insightful, and meaningful visuals that will give new life to your data.

Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.

Key skills

  • Using information design principles to build narratives
  • Building data visualizations to tell compelling stories
  • Creating graphs using information design principles
  • Creating visual patterns using Gestalt principles

Course outline

Telling Stories Using Data Visualization and Information Design [5 lessons]

Design for an Audience 2h

Lesson Objectives
  • Create graphs using design principles
  • Choose the proper graph using the familiarity principle
  • Improve a graph by maximizing the data-ink ratio
  • Make advanced graph edits using Matplotlib

Storytelling Data Visualization 2h

Lesson Objectives
  • Identify the elements of a data story
  • Build a data story using Matplotlib

Gestalt Principles and Pre-Attentive Attributes 1h

Lesson Objectives
  • Recognize patterns among distinct objects
  • Create data visualizations using Gestalt principles
  • Control attention using pre-attentive attributes

Matplotlib Styles: FiveThirtyEight Case Study 1h

Lesson Objectives
  • Employ Matplotlib's built-in styles
  • Create a FiveThirtyEight graph using Matplotlib

Guided Project: Storytelling Data Visualization on Exchange Rates 1h

Lesson Objectives
  • Create a story using data
  • Create data visualizations using brainstorming and sketching
  • Create a narrative data visualization using Matplotlib

Projects in this course

Guided Project: Storytelling Data Visualization on Exchange Rates

For this project, we’ll assume the role of a data analyst tasked with creating an explanatory data visualization about Euro exchange rates to inform and engage an audience.

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

Share the evidence of your hard work with your network and potential employers.

Grow your career with

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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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