DADataCamp
Introduction to Data Visualization with Seaborn
Beginner 4 hours English Completion Certificate
What you'll learn
Create scatter, line, bar and box plots with Seaborn
Customise plot style, colour and labels
Visualise relationships between variables
Use Seaborn with pandas DataFrames
Choose the right chart for the question
Explore datasets visually (EDA)
This course includes
4h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
Comparison · LBS
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Instructor
D
DataCamp
DataCamp instructor
— learners— courses — instructor rating
A DataCamp course built by its curriculum team, using real datasets and an exercise-driven, build-the-chart format.
Requirements
- Basic Python; pandas helps
Who this course is for
- Learners with basic Python
- Analysts who need clear charts
- Aspiring data scientists
About this provider
DA
DataCamp
Data science and analytics learning platform. 10M+ learners, hands-on coding exercises.
4.4 trust score
Frequently asked questions
Seaborn is a Python library built on Matplotlib that makes attractive statistical charts with little code — a fast, good-looking way to visualise data.
Some basic Python helps, and pandas is a natural companion since you'll often plot DataFrames. Take Introduction to Python first if you're new.
About four hours of hands-on plotting exercises.
Seaborn is quicker and prettier for common statistical charts; Matplotlib gives finer control. Many analysts learn Seaborn first, then Matplotlib for tweaks.
First chapter free; full course on a DataCamp subscription (~$29/month annually), with a statement of accomplishment.