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If you are looking to master data visualization in Python, then Matplotlib is the go-to library for you. Matplotlib is a powerful data visualization tool that enables programmers and data scientists to create interactive and visually appealing graphs, charts, and plots. Whether you are a beginner or an experienced Python programmer, taking a course or certification in Matplotlib can enhance your skills and broaden your understanding of this essential library. In this article, we have curated a list of the 10 best Matplotlib courses and certifications available online, so you can choose the one that best suits your learning goals and level of expertise.

1. “Python for Data Visualization using Matplotlib” by Udemy

This comprehensive course offered by Udemy is a great starting point for beginners. Covering the fundamentals of Matplotlib, it provides a step-by-step guide on how to create various types of plots, customize them, and add interactivity to your visualizations. With real-world examples and hands-on exercises, you will gain practical experience in using Matplotlib to effectively communicate insights from your data.

2. “Data Visualization with Matplotlib and Python” by Pluralsight

Pluralsight offers an intermediate-level course designed to help you take your data visualization skills to the next level. Through this course, you will learn advanced techniques in customizing plots, creating subplots, and incorporating data from external sources. By the end, you will have a solid understanding of Matplotlib and its applications in data analysis and storytelling.

3. “Mastering Data Visualization with Matplotlib 3” by Packt

For those seeking a more in-depth exploration of Matplotlib, this course by Packt provides comprehensive coverage of the library’s features and functionalities. Starting from the basics, you will gradually delve into advanced topics such as 3D visualization, animation, and working with real-time data. With practical exercises and projects, you will develop a strong command over Matplotlib.

4. “Data Visualization with Python and Matplotlib” by Coursera

Offered by the University of Michigan on Coursera, this course is part of a specialization in Applied Data Science with Python. It covers the fundamentals of data visualization using Matplotlib and introduces additional libraries like Pandas and Seaborn. By the end, you will have the skills to create compelling visualizations and communicate your findings effectively.

5. “Data Visualization with Matplotlib and Seaborn” by LinkedIn Learning

This intermediate-level course on the LinkedIn Learning platform focuses on using Matplotlib in conjunction with Seaborn, another popular data visualization library. You will explore advanced visualization techniques, such as heatmaps, cluster plots, and pair plots. By combining the power of these two libraries, you will develop a deep understanding of data visualization concepts.

6. “Python Data Science Handbook: Data Visualization with Matplotlib” by O’Reilly

Written by Jake VanderPlas, this book is a comprehensive resource for aspiring data scientists. The book not only covers Matplotlib but also introduces other essential Python libraries like NumPy and Pandas. With detailed explanations and practical examples, you will learn how to create a wide range of plots and visualizations.

7. “Data Visualization with Matplotlib Cookbook” by Packt

Ideal for those already familiar with Matplotlib, this cookbook offers a collection of recipes for creating specific types of visualizations. It covers topics such as customizing colors and styles, plotting geographic data, and creating interactive visualizations. With its practical approach, you can quickly find solutions to common visualization challenges.

8. “Visualization with Matplotlib” by DataCamp

DataCamp provides a beginner-friendly course that focuses on teaching you how to create static and interactive visualizations using Matplotlib. With hands-on exercises and real-world datasets, you will learn how to transform raw data into meaningful insights. This course is a great starting point for anyone looking to strengthen their data visualization skills.

9. “Python Plotting with Matplotlib” by Real Python

This online tutorial by Real Python is perfect for Python programmers who want to dive into Matplotlib through practical examples. The tutorial covers basic plot types, customization options, and advanced techniques like creating animations. By following along with the code examples, you will quickly become proficient in using Matplotlib.

10. “Matplotlib Tutorial” by Matplotlib.org

Lastly, if you prefer self-paced learning, Matplotlib.org provides an extensive tutorial on their official website. This tutorial covers everything from the basics to advanced topics, with detailed explanations and code examples. It is a comprehensive resource for mastering Matplotlib at your own pace.


Matplotlib is a powerful tool for data visualization in Python, and mastering its capabilities can greatly enhance your ability to communicate insights from your data. Whether you are a beginner or an experienced programmer, the online courses and certifications mentioned in this article offer valuable learning opportunities. From the comprehensive courses offered by Udemy and Pluralsight to the practical tutorials on Matplotlib.org, there is a wide range of options available to suit your learning style and level of expertise. So, choose the course or certification that aligns with your goals and start your journey towards becoming a proficient data visualizer with Matplotlib.