“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.”

Victoria E. Guzik

Associate Data Scientist @Callisto Media

Course overview

In this course, you’ll learn how to balance graph creation and statistics in your visualizations using tools such as Matplotlib and Seaborn. Throughout this course, you’ll learn the most common methods and techniques to visualize data using a variety of Python libraries.

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

  • Developing fundamental knowledge of data visualization using Python libraries
  • Visualizing data with line plots, scatter plots, bar plots, and more
  • Optimizing your data visualization workflow to reveal insights and fuel data-driven decisions

Course outline

Introduction to Data Visualization in Python [6 lessons]

Line Graphs and Time Series 1h

Lesson Objectives
  • Plot a line graph using Matplotlib
  • Customize a line graph using Matplotlib
  • Visualize time series with line plots
  • Interpret line plots by identifying types of change

Scatter Plots and Correlations 1h

Lesson Objectives
  • Generate a scatter plot using Matplotlib
  • Visualize correlations using scatter plots
  • Measure correlation using Pearson's r
  • Interpret correlation values correctly

Bar Plots, Histograms, and Distributions 1h

Lesson Objectives
  • Create a bar plot using Matplotlib
  • Create a histogram using Matplotlib
  • Visualize a frequency table using a bar plot
  • Visualize a grouped frequency table using a histogram
  • Interpret bar plots and histograms

Pandas Visualizations and Grid Charts 2h

Lesson Objectives
  • Generate graphs using pandas
  • Compare graphs using grid charts
  • Generate grid charts using Matplotlib

Relational Plots and Multiple Variables 1h

Lesson Objectives
  • Build relational plots using seaborn
  • Represent multiple variables with relational plots
  • Identify patterns by examining a relational plot

Guided Project: Finding Heavy Traffic Indicators on I-94 2h

Lesson Objectives
  • Complete a portfolio project using visualization
  • Determine weather indicators of heavy traffic using visualization
  • Combine and apply the data visualization project

Projects in this course

Guided Project: Finding Heavy Traffic Indicators on I-94

For this project, you’ll assume the role of a data analyst exploring a dataset on westbound traffic on the I-94 Interstate highway. You’ll apply exploratory data visualization techniques to determine indicators of heavy traffic.

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.

Grow your career with

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for learners who complete a path

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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