An analysis nobody understands changes nothing. Visualization is how you spot patterns in your own data, and storytelling is how you get other people to trust and act on what you found. Both are core skills for anyone working with data.
You'll start with Matplotlib, the foundation of plotting in Python, covering line charts, bar charts, scatter plots, and histograms, and how to label and style them. Then you'll look at what makes a visualization effective: choosing the right chart, cutting clutter, and guiding the viewer's eye to the point. Finally, you'll see how a clear story built around data can make complex findings easy to follow.
With these skills you'll be ready for the next module, Machine Learning Fundamentals, where you'll start building models from the data you've collected, cleaned, and explored.
Building line, bar, and scatter plots from scratch, then adding labels, legends, colours, and styles to make them readable.
Hans Rosling's classic animated chart, a memorable example of how good visualization can turn a huge dataset into a clear story.
Includes sections on Matplotlib and Seaborn alongside pandas, so you can practise charting on real datasets. Dip in for the plotting sections.