Python for Data Viz (Matplotlib, Seaborn, Pandas)

In this video, we'll teach you how to create stunning data visualizations using three powerful Python libraries: Matplotlib, Seaborn, and Pandas.

We'll start with Matplotlib, the classic plotting library that provides a wide range of basic and advanced visualizations. You'll learn how to create scatter plots, line charts, bar charts, and more, as well as customise them with titles, labels, colors, and styles.

Then, we'll introduce you to Seaborn, a modern data visualization library built on top of Matplotlib that provides even more advanced visualizations. You'll learn how to create stunning heatmaps and more, as well as customise them with Seaborn's built-in themes and color palettes.

Finally, we'll show you how to use Pandas, the powerful data manipulation library, to clean and transform your data before visualizing it. You'll learn how to load data from various sources, manipulate it with Pandas' data frames and series, and then create beautiful plots.

Throughout the video, we'll provide plenty of code examples and explanations to help you understand the concepts and apply them to your own data. By the end of the video, you'll have a solid foundation in Python data visualisation and be ready to create stunning plots that tell compelling stories with your data.

So whether you're a data analyst, data scientist, or just someone interested in data visualisation, join us and learn Python for Data Viz with Matplotlib, Seaborn, and Pandas today!

Time stamps:
0:00 - Intro
0:16 - Matplotlib
8:55 - Seaborn
16:17 - Pandas

[Deleted]

I like how you've taken the videos from Introductory to Advanced. Great Work.

[RachiiRaa]

Currently using the pairplot visualisation as I type this! You explain everything so well, another great upload toby! 👍🏻