Data Visualization in Python Masterclass™ for Data Scientist
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.
Why you should take this course?
Updated 2021 course content: All our course content is updated as per the latest version of the Matplotlib library.
Practical hands-on knowledge: This course is oriented to providing a step-by-step implementation guide for making amazing data visualization plots rather than just sticking to the theory.
Guided support: We are always there to guide you through the Q/As so feel free to ask us your queries
Author : Abbosjon Madiev
Ratings : 4.5 / 5.0
Students : 1,427 students