Matplotlib for Data Visualization

Course Overview 

The only way to truly learn how to use Matplotlib for Data Visualization with Python is by actually getting your hands dirty and trying out the features yourself. That’s where this course comes in!

The hour-long course starts off with an introduction to Matplotlib, including how to install and import it in Python. We will then move on to learn how you can create and customize basic 2D charts in order to best tell your story. Furthermore, you will also learn what subplots are and how you can create as well as customize them with the help of the Matplotlib library.

We will explore the full spectrum of interactive and explorable graphic representations including various plots such as Scatter, Line, Bar, Stacked Bar, Histogram, Pie, and much more. The course also walks you through the basics of creating a 3D plot in Matplotlib and how you can start plotting images using the Python visualization library.

And, once you are done with this course, you will be able to create almost any kind of plot that you need with Matplotlib and Python.


A high-level overview of the learning objectives of this course is as follows:

  • Understand all the basic fundamentals of Matplotlib.
  • Learn how to install and import Matplotlib in Python.
  • Learn to create 2D and 3D plots using Matplotlib.
  • Learn to create sub-plots and how to plot images using Matplotlib.

You can expect to meet all these objectives by the time you reach the end of this course.


If this is your first time learning any programming language, it may be hard for you to grasp all concepts effectively. However, we have tried to create this as a beginner-friendly course aimed at helping you understand the A-Z of Python.

Best way to work through the course

This course is detailed and requires a good amount of time and attention from your end.

If you come across any problem, do check to see if your code matches exactly with the course. If you still face errors or have any questions, you can provide your question through the comment section of the specific chapter you are stuck on.

We recommend you to join our community and get connected to our vibrant network of data science aspirants. Once you are in the community, you can share your learnings, form a study group, or even get help building a project around Python.

Ready to start your journey on Data Visualization with Matplotlib? Let’s get started.