Skill Path

Visualize Data with Python

Learn to make effective data visualizations in Python with Matplotlib and Seaborn.

Includes Python, MatPlotLib, Seaborn, Jupyter Notebook, and more.

To start this Skill Path, upgrade your plan.
2,601 learners enrolled
  • Skill level

    Beginner
  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
    7 hours
  • Certificate of completion

    Yes
  • Prerequisites

    1 course
    We suggest you complete the following courses before you get started with Visualize Data with Python:
    • Learn Python for Data Science

About this skill path

Data visualization is a powerful tool for understanding and communicating data. In this Skill Path, you will learn how to leverage Matplotlib and Seaborn to make effective, appealing visualizations – from choosing the right chart type for the data, to correctly scaling axes for truth and accuracy, to building an argument through visual choices. Plus, now you can build your prompt engineering skills and get hands-on experience writing, testing, and refining prompts directly in the course.

Skills you'll gain

  • Create charts in Matplotlib and Seaborn
  • Choose the right chart for the data
  • Follow standard design principles
  • Tell a data story with custom charts

Syllabus

6 units • 6 lessons • 5 projects • 4 quizzes
  • 1

    Welcome to the Visualize Data with Python Skill Path

    Get started with the Visualize Data with Python Skill Path.

  • 2

    Data Visualization with Matplotlib

    Make effective, customized data visualizations in Python with Matplotlib.

  • 3

    Data Visualization with Seaborn

    Learn to make effective, customized data visualizations in Python with Seaborn.

  • 4

    Learn How to use AI for Data Analysis

    Learn how to use AI for data analysis.

  • 5

    Visualize Data with Python Portfolio Project

    Complete a project for your portfolio that demonstrates your data visualization skills.

  • 6

    Visualize Data with Python Next Steps

    What comes next?

  • Certificate of completion available with Plus or Pro

    Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.

The platform

Hands-on learning

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Earn a certificate of completion

Show your network you've done the work by earning a certificate of completion for each course or path you finish.
  • Show proofReceive a certificate that demonstrates you've completed a course or path.
  • Build a collectionThe more courses and paths you complete, the more certificates you collect.
  • Share with your networkEasily add certificates of completion to your LinkedIn profile to share your accomplishments.

Reviews from learners

  • The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.
    Chris
    Codecademy Learner @ USA
  • I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.
    Rodrigo
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    John-Andrew
    Codecademy Learner @ USA

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How it works

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    We guide you through exactly where to start and what to learn next to build a new skill.
  3. Get there quickly

    We’ve hand-picked the content in each Skill Path to fast-track your journey and help you gain a new skill in just a few months.

Ready to learn a new skill?

Get started on Visualize Data with Python with a free Codecademy account.

What's included in skill paths

  • Practice Projects

    Guided projects that help you solidify the skills and concepts you're learning.
  • Assessments

    Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
  • Certificate of Completion

    Earn a document to prove you've completed a course or path that you can share with your network.