Best Matplotlib Courses Online & Certification (June 2024)

  • Post last modified:11 September 2023
  • Reading time:39 mins read
  • Post category:Best Online Course
Coursera 7-Day Trail offer

Matplotlib is one of the most popular Python libraries for data visualization in 2024. This Python library is mostly used to create visualizations that allow users to access vast amounts of data. This NumPy extension was designed by John Hunter in 2002 and can work with the larger SciPy stack. It includes several plots like a line, bar, scatter, and histogram. Trends and patterns can be correlated using plots. Typically, they are used to analyze quantitative data.

Most dependencies are available as wheel packages, so they can easily be installed on Windows, Linux, or macOS. Matplotlib is usually installed with a one-line command. Having experience in Matplotlib is key to taking your career ahead. This article will discuss the best Matplotlib Courses to get hands-on experience. 

Why is learning Matplotlib Important in Python?

Matplotlib Python library offers direct access to a range of data and creates plots to get relevant information for the organization. Also, learning Matplotlib in Python can increase job prospects and earnings in the same organization.  

Python Developers earn $83,275 in the United States, according to Glassdoor. More than 100,000 job ads on websites like and Glassdoor list Python as one of the required skills. In 2024, Python will be a high-in-demand language that helps developers and data professionals to improve their coding skills and reduce workload. 

Scroll down to find the right one from the Best Matplotlib Courses Online list. Enrol fast to earn skills as a Python developer.

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Best Matplotlib Courses, Certification, Tutorials, Training, Classes Online

Data Visualization with Matplotlib [Datacamp]

Take a chance to build your knowledge about visualizing data in plots and figures. You will learn how to use good visualization to see the underlying patterns in the data and get insights. With data visualization, you can easily communicate with your clients and investors. In this Datacamp Matplotlib course, you will discover the powerful Python library- Matplotlib, which can be used to create data visualizations.

Course Instructor

Ariel Roskam will teach this Datacamp Data Visualization with Matplotlib Tutorial. He is working as a Senior Data Scientist at the University of Washington and has developed various data science tools and algorithms. His expertise will help students to gain rewarding skills from this online Matplotlib course.

Pros & Cons


  • Simple and interactive syllabus
  • Bite-sized lessons
  • Free to audit the first chapter


  • Require Python skills

Key Highlights & Learning Objectives

  • This Datacamp Data Visualization Course is divided into 4 lessons, namely: 
    • Introduction to Matplotlib
    • Plotting time-series
    • Quantitative Comparisons and Statistical Visualizations
    • Sharing Visualization with Others

  • Get introduced to the Matplotlib visualization library and understand how to use it for data.

  • Learn about time-series data, how it is recorded and how to get insights from this type of data and find out relationships between data.

  • Discover several methods for qualitative visualizations to compare data and drive useful insights. 

  • Gain access to share visualizations with others, save figures in files, adjust their appearance, and automate their development by providing data. 

  • Receive a certificate after completing the tutorial’s chapters and all practical assignments.

Who is it for?

This Matplotlib data visualization course for data science is designed for data analysts, researchers, data scientists, engineers, and any professionals, who work with data. Once you’ve completed this tutorial, you can use this tool to visualize data easily and use insights to make informed decisions in your organizations. If you are unaware of data visualizations, check out the list of the Best Data Visualizations Courses.

Rating: 4.4/5
Students Enrolled: 194,280
Duration: 4 hours

50% OFF Datacamp
Offer till 1st Feb

Applied Plotting, Charting & Data Representation in Python [Coursera]

Learn to create plots and charts for data visualization with this Matplotlib course online with a certificate. It will introduce you to the basics of informational visualizations and how to create plots and charts using the Matplotlib library. This Visualization Python Course will focus on basic charts and how to make decisions based on them. It will also help students to understand other forms of structuring and visualizing data.

Course Instructor

The Coursera Data Visualization using Python is offered by the University of Michigan and will be taught by Christopher Brooks. He has been working as an assistant professor and has vast experience teaching data science.

What You’ll Learn

This Applied Plotting and Charting in Python Course is a part of the Applied Data Science with Python Specialization, which includes 4 modules to help you understand how to create good visualizations. 

  1. Principles of Information Visualization: This module will help you understand the principles of data visualization and how to use tools to design and create impressive visualizations.

  2. Basic Charting: This module will teach how to use weather data charting. It covers basic data manipulation and demonstrates creating a line graph using matplotlib.

  3. Charting Fundamentals: In this module, you will discover charting fundamentals and how to apply an innovative visualization technique based on academic research.

  4. Applied Visualizations: This module includes an assignment where students identify at least two publicly accessible datasets from the same region that are consistent across a meaningful dimension.

Pros & Cons


  • Beautifully designed and executed
  • Provide real-world examples and practical solutions
  • Deep lecture about Matplotlib


  • Short videos
  • Challenging for beginners

Key Highlights & Learning Objectives

  • Learn the principles of Data Visualization and tools to design effective visualizations.

  • Develop knowledge about basic charting and data manipulation. 

  • Describe what makes a good or bad visualization and how a good visualization can help you to make informed decisions.

  • Implement visualization techniques to create interactive plots and charts to get valuable insights.

  • Get the final assignment to understand how visualization answers a research-based question.

  • Enjoy unlimited access to 25 video lectures, 13 reading materials, and 7 quizzes to practice your learning after each module, shareable certificate

Who is it for?

This Data Representation in Python Course is for those who know Python programming and worked with data before. By taking this intermediate Matplotlib Python Course, you will gain skills which might be helpful for your organization. If you are unfamiliar with Python and its libraries, look at the best Python courses list.

Rating: 4.5/5
Students Enrolled: 240,775
Duration: 24 hours

Coursera 7-Day Trail offer

Python for Visualizing Data [edX]

The Data Visualization with Python Course is a great way to understand how graphical representation can help share insights with clients, customers, and stakeholders. This most recommended tutorial on Matplotlib is a part of the IBM Data Science Professional Certificate. It will cover the key topics that help you to create interactive visualization based on real-world datasets. 

Course Instructor

This edX Python for Visualizing Data Tutorial is created by popular IBM instructors who deeply understand data science. The instructors are Joseph Santarcangelo, Sai Shruthi Swaminathan, and Alex Axlson, who have worked as data scientists at IBM for years.

Pros & Cons


  • Excellent instructors from IBM
  • Highly-rated on edX
  • Free access to audit


  • Require knowledge of Python for Data Science and Data Analysis

Key Highlights & Learning Objectives

  • This edX Python Data Visualization Tutorial is divided into 5 modules to help you comprehend topics thoroughly.
    • Introduction to Visualization Tools
    • Basic Visualization Tools
    • Specialized Visualization Tools
    • Advanced Visualization Tools
    • Creating Maps and Visualizing Geospatial Data

  • Explain how to present data using several Python data visualization libraries, such as Matplotlib, Seaborn, and Folium

  • Learn about basic visualization tools, such as area plots, histograms, and bar charts

  • Describe how to use specialized visualization tools, such as pie charts, box plots, and scatter plots

  • Gain knowledge of advanced visualization tools, like Seaborn, for creating waffle charts and regression plots

  • Prepare maps and visualize geospatial data based on real-world datasets.

Who is it for?

This Visualizing Data using Python Course is the best way for data professionals to enhance their careers. You should understand Python for Data Science to understand the syllabus covered in this tutorial. Once completed, you can implement knowledge to drive valuable insights from datasets.

Rating: 4.7/5
Students Enrolled: 82,004
Duration: 5 weeks, 2–4 hours per week

Complete Guide on Data Visualization [Udemy]

If you have zero knowledge about data visualization, this Matplotlib for Data Visualization is the right course. It offers you a complete guide to learning Matplotlib Anatomy and understanding Seaborn to use for creating beautiful charts. You will also learn how to create charts using Matplotlib and Pandas together.

Course Instructor

This Udemy Data Visualization Online Guide is prepared by Bekzod Ruzmetov, who has years of data analysis and web application-building experience. He is also co-founder of SME online accounting Saas- Talibro. His keen interests include financial modeling in Excel, accounting, and statistics.

Pros & Cons


  • Informative and well-structured 
  • Clear and concise lectures
  • Access to course materials


  • Python codes relatively tough for beginners
  • Not very well-explained

Key Highlights & Learning Objectives

  • This Udemy Matplotlib Tutorial is divided into 6 sections and provides 49 video lectures to cover each topic. 

  • Learn Matplotlib anatomy and how to customize charts of any complexity easily.

  • Able to create various types of charts, Histograms, plots, and Heatmaps

  • Get comfortable with Matplotlib Artists like legends, annotations, texts, patches, lines, collections, containers, and axes.

  • Able to create statistical charts using Seaborn – a Python library, and visualize data with Matplotlib in OOP.

  • Free lifetime access to course materials, including video lectures, 1 article, and practice exercises.

Who is it for?

This online Matplotlib course is the perfect option for those who want to learn to design various charts with Matplotlib OOP, Seaborn, and Pandas. You can also gain control over Matplotlib charts and understand the intuition behind using Matplotlib. By the end of this course, you will be able to visualize and customize any Matplotlib, Seaborn, and Pandas chart intuitively.

Rating: 4.5/5
Students Enrolled: 14,566
Duration: 3.5 hours

Udemy New Customer Deal
Valid till: 1st Feb

Data Analysis using Python Matplotlib [Coursera]

The Data Analysis with Matplotlib Course covers core topics which help import and organize your data. You will learn how to use functions to collect stats and perform statistical tests. In this Matplotlib tutorial, you don’t have to install any setup to code and run your first Python programs.

Course Instructor

The Data Analysis in Python Course will be taught by Kevin Noelsaint and Ahn Le, who work as data professionals at Codio. They are highly-rated Coursera instructors and have experience teaching online students from around the world.

What You’ll Learn

This Coursera Data Analysis using Pandas and Matplotlib is divided into 5 modules, namely: 

  1. Describing a Numerical Dataset: This module will explain how to sort and understand various data types. You will learn how to use statistical functions and navigate Codio.

  2. Importing and Describing Mixed Datasets: In this module, you will discover how to import data frames and use logic operators in Python programs.

  3. Statistical Tests: This module will teach how to use conditions and compare datasets to get reliable insights. It also includes tests to handle incomplete datasets and how to merge and join them.

  4. Python Data Analysis Lab: This final module includes a lab project to test the knowledge that you’ve learned in this course.

Pros & Cons


  • Truly hands-on and self-paced learning experience 
  • Approachable coding exercises 
  • Easy-to-use interfaces such as Codio


  • Need to be updated

Key Highlights & Learning Objectives

  • Explain a numerical data set using statistics.

  • Possible to import and describe diverse data sets using Pandas and Matplotlib.

  • Analyze the differences between populations using a statistical test to determine if they are different.

  • Understand the relationships between variables using statistical tests.

  • Provide access to 14 reading materials and hands-on projects to improve your skill and earn a shareable certificate of completion.

Who is it for?

This Matplotlib Data Analysis Online Course is suitable for beginners with no coding experience. It provides a crash course in Python to understand core data analysis topics. After completing, you will gain useful skills to analyze, visualize, and handle datasets. Beginners can also take the Best Data Analysis Courses to understand the role of this field in various industries.

Rating: 4.0/5
Students Enrolled: 2,682
Duration: 10 hours

Coursera 7-Day Trail offer

Learn Python Matplotlib [Udemy]

This Matplotlib Python Course offers a brief overview of how to use Python for creating websites and covers topics such as lists, dictionaries, functions, and more. You will learn how to build a fully functional tic-tac-toe game using classes, methods, inheritance, and attributes. In this Python online course, instructors will discuss cool Matplotlib features for data visualization.

Course Instructor

John Bura is the creator and instructor of this Python with Matplotlib Course; he has been a successful Udemy instructor since 2011. He is currently running a game development studio, Mammoth Interactive. His main goal is to enjoy the course’s learning process and get hands-on experience by building projects.

Pros & Cons


  • In-depth and interactive 
  • Simplify and easy to follow
  • Very good teacher
  • No prerequisites


  • Not allowed to audit for free

Key Highlights & Learning Objectives

  • The Graphs in Python with Matplotlib Training Program consists of 17 sections and 79 videos to learn how to visualize data.

  • Start coding in Python 3.5 and learn how to build games with Python.

  • Develop knowledge about creating basic line graphs and plots using the powerful Python library, Matplotlib 1.5.

  • Able to read finance data directly from Yahoo and customize our graphs with visuals, titles, labels, text, and legends.

  • Learn to identify different visualization types, such as histograms, pie charts, and box and whisker plots.

  • Understand how to use figures and subplots, create 3D plotting, and customize plot structure.

  • Earn a certificate of completion after finishing all chapters and 3 articles.

Who is it for?

This  Python Matplotlib Tutorial is for beginners or experienced who want to learn to code for the web in the popular Python programming language. It is the right pick if you want to learn how to use data science or make 2D graphs. By the end of the course, you will be able to build games and use Python for visualizing data.

Rating: 4.6/5
Duration: 27 hours

Udemy New Customer Deal
Valid till: 1st Feb

Frequently Asked Questions

Where can I learn Matplotlib?

If you are interested in learning this interesting Python library, it is easy to find the right sources. You can find free online courses on the Internet that help you understand Matplotlib, its uses, and coding practice examples. The easiest way to learn Matplotlib is to enroll in any of the best Matplotlib Courses online.

Is Matplotlib a Programming language?

Matplotlib is a library for plotting data for the Python programming language and its numerical mathematics extension NumPy. The API allows embedding plots into applications using GUI toolkits such as Tkinter, wxPython, Qt, and GTK.

Should I learn NumPy or Matplotlib first?

The first thing you should do is learn Numpy. It is one of the most fundamental modules in Python for scientific computing. Many Machine Learning algorithms rely on multidimensional arrays, which Numpy supports. You can take the best Python courses to learn the difference between NumPy and Matplotlib and understand the application of both Python libraries.

Which companies use Matplotlib?

Data analysts widely use Matplotlib to compose data into visualizations, such as graphs, histograms, heat maps, etc. Matplotlib is used by data professionals of several companies, including Walmart, Tesla, Apple, and so on.

Final Thought

Unleash your potential by learning the powerful Matplotlib Python library. It gives you an edge to stand out and grab an amazing career opportunity. You don’t have to work hard, only smart, by choosing the right course from the list. Hopefully, this compiled list of the Best Matplotlib Courses can help you get what you want and achieve your career goal quickly.

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