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Data Visualization

Kaggle's short course on making line, bar, scatter and distribution charts with seaborn.

Taught byKaggle Learn
Start free on Kaggle Learn

About this course

A practical course using the seaborn library. You make line charts, bar charts and heatmaps, scatter plots and distribution plots, then learn how to choose the right chart and style it, finishing with a project on your own dataset.

Best for: Beginners who want to present data visually.

What you will be able to do

  • Create common chart types with seaborn
  • Show distributions and relationships
  • Pick the right chart for a question
  • Style plots for presentation

Syllabus and your progress

Tick modules off as you finish them on Kaggle Learn.

0 of 7 modules done

Plan your pace

At 4 hours a week you would finish in about 1 week, using the course time estimate above.

Progress is saved in this browser only. No account needed.

Cost and certificate

Free certificate

Kaggle issues a free course certificate to signed-in users who finish all lessons and exercises.

Before you start: Basic Python

Kaggle Learn sets the terms and can change them. Check the course page before you commit serious time, and tell us if something changed.

Quick answers

Is Data Visualization really free?
Yes, the course material is free on Kaggle Learn. Kaggle issues a free course certificate to signed-in users who finish all lessons and exercises.
How long does Data Visualization take?
Plan for about 4 hrs in total (Kaggle course page estimate (about 4 hours).). It is interactive, so you can go faster or slower.
Do I need experience before Data Visualization?
It helps to have: Basic Python.

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Short, practical data science micro-courses.

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Data Visualization

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