Seaborn & Matplotlib are the 2 popular Python libraries used widely for data visualization.
Matplotlib is more preferred for creating appealing graphs but is less elegant & time-consuming than Seaborn. However, Seaborn is closely aligned with Matplotlib’s interface to instantly create various built-in visuals from customized heat maps to desirable line plots.
Considering this, here’s a short course that will cover the basics of Seaborn/Matplotlib for creating a wide array of visual graphics.
This will be a perfect fit for everyone who wishes to learn data visualization techniques with Python.
SKILLS YOU WILL GAIN
Fundamentals of Data Visualization
Python Data Visualization
Seaborn and Matplotlib
Practice with open source libraries
WHAT YOU WILL LEARN
Best Practices of data visualization
How to make pandas/numpy data work within the Matplotlib/Seaborn interfaces and appreciating the built-in functionalities
How to use Seaborn to visualize numerical data with custom scatter plots and line plots
How to use Seaborn to visualize categorical data with categorical plots