Hopefully you’re comfortable with the concepts in our basic course and analytics crash course and are ready to learn more about data visualisation. The collection of articles here will take you through a few examples of Matplotlib and Seaborn’s methods of creating different types of data visualisation in Python.
- Scatter Plots
- Box Plots
- Violin Plots
- Heatmaps for Correlation
- Pairplot for Exploratory Analysis
- Football Pitch Heatmaps
Use these examples to get comfortable with how both Matplotlib and Seaborn work and can be customised – then how you can use them in your own work. As for new skills to learn – take a look at our latest work on the blog! Alternatively, if there are other things that you would like to learn about that you haven’t seen here – let us know here.