Visualize your data before and after machine learning
Study variable correlations with matplotlib and seaborn, and use dimensionality reduction (PCA, t-SNE) to display complex datasets.
Create an interactive display for geographical data with python: real-estate prices near Geneva.
Create a choropleth map with geoviews and geopandas.
Analyse the COVID-19 data from John Hopkins University by yourself with python (pandas, holoviews, matplotlib)
Visualization is absolutely essential in data analysis, as it allows you to directly feed your data into a powerful neural network for unsupervised learning: your brain. Learn how to use bokeh to dig deeper in your data!