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Data Visualization
10 short modules. Each one: a simple lesson, two quick games and a 8-question quiz for its own free certificate. Finish them all, then take the full Data Visualization certificate.
0 of 10 module certificates
- Why visualise data?Charts reveal patterns, trends and outliers that tables hide.0/4
- Choosing the right chartMatch chart types to the question you are answering.0/4
- Design principlesMake charts clear, honest and attractive.0/4
- Colour and accessibilityUse colour wisely and make charts readable for everyone.0/4
- Matplotlib basicsDraw charts in Python with Matplotlib.0/4
- Seaborn and PlotlyMake statistical and interactive charts quickly.0/4
- DashboardsCombine charts into dashboards for monitoring and decisions.0/4
- Maps and special chartsShow geographic and complex data.0/4
- Storytelling with dataTurn charts into a story that drives decisions.0/4
- Honest visualisation and projectsAvoid misleading charts and build a portfolio.0/4
🏆 Full Data Visualization certificate
20 questions from basic to advanced, 60% to pass. Best taken after the modules.