Course
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Learn how to create, customize, and share data visualizations using Matplotlib.
Learn how to create, customize, and share data visualizations using Matplotlib.
Track
Supercharge your data science skills using Python's most popular and robust data visualization libraries.
Loved by learners at thousands of companies
Make progress on the go with our mobile courses and daily 5-minute coding challenges.
Course
Learn how to create, customize, and share data visualizations using Matplotlib.
Learn how to create, customize, and share data visualizations using Matplotlib.
Course
Learn how to create informative and attractive visualizations in Python using the Seaborn library.
Learn how to create informative and attractive visualizations in Python using the Seaborn library.
Course
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
Course
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
Skill Assessment
Data Visualization in Python
Track
Complete
Data Science Program Manager at Nashville Software School
Yes, this Track is suitable for beginners, as long as they have a basic understanding of Python programming language. It covers the essential skills to create informative visualizations that can showcase your data. The track courses will introduce users to data visualization libraries from scratch.
The programming language used in this Track is Python.
Data visualization skills are fast becoming an essential skill for many industries, such as finance, education, healthcare, retail, and more. Professionals of these industries, such as data analysts, scientists, academics, bioinformaticians, software engineers, report writers, etc. can benefit a lot from this track.
By completing this Track, you can acquire the essential skills to create informative visualizations, which can showcase your data, giving you the confidence to create your own data visualizations with Python. This track will help you develop practical data visualization skills to apply across various data-driven roles, helping you tell stories with your data.
This Track usually takes 16 hours to complete as it consists of several courses that significantly upskill users.
A skill track focuses on helping users acquire a specific skill (data visualization, in this case) and develop the abilities required to use the skill in their everyday work. A career track, on the other hand, is focused on preparing users for a job or a specific career by providing courses related to the specific job or career.
The track courses included in this Track are Visualizing Geospatial Data in Python, Introduction to Data Visualization with Matplotlib, Improving Your Data Visualizations in Python, Introduction to Data Visualization with Seaborn.
The tracks helped me complete my journey without feeling lost. Each course builds on the last, keeping me motivated and on track

DataCamp helped me transition from someone curious about data to someone actively applying these skills in my job
I've been using DataCamp for four years, and it's helped me transition from filling gaps in my skills to proactively creating value for my company