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Visualize Data with Python
Learn to make effective data visualizations in Python with Matplotlib and Seaborn.
Includes Python, MatPlotLib, Seaborn, Jupyter Notebook, and more.
Skill level
BeginnerTime to complete
4 weeksCertificate of completion
YesPrerequisites
1 courseWe 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.
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
5 units • 5 lessons • 4 projects • 3 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
Visualize Data with Python Portfolio Project
Complete a project for your portfolio that demonstrates your data visualization skills.
- 5
Visualize Data with Python Next Steps
What comes next?
The platform
Hands-on learning
Don't just watch or read about someone else coding — write your own code live in our online, interactive platform. You'll even get AI-driven recommendations on what you need to review to help keep you on track.
Projects in this skill path
- Project
Make a Line Chart for Research
Make a line chart with matplotlib to visualize precipitation data in six locations around the world. - Project
Make the Other Charts: Silly's Ice Cream Shop Project
Make visualizations (bar chart, pie chart, scatterplot, and histogram) to answer questions about sales data. Enhance the charts with parameters like error bars, AB lines, and subplot configuration. - Project
Making A Visual Argument: Compare Grammy Win Records
Improve upon a first draft chart to make a clear visual argument comparing the two most Grammy-winning artists ever: Georg Solti and Beyoncé.
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.ChrisCodecademy 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.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
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Related resources
Related courses and paths
- Free course
Intro to Data Visualization with Python
Learn how to use Matplotlib to clarify your data with meaningful charts and other data visualizations.Beginner Friendly3 hours - Free course
Data Visualization with Python: Visual Arguments
Learn good design principles for telling a visual story with data using Matplotlib.Beginner Friendly1 hour - Skill path
Analyze Data with Python
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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.