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Data Visualization

Turn raw datasets into beautiful visual dashboards

Intermediate Free to start Indoor Quick pace

Clean interesting datasets in Python/Pandas and visualize trends, maps, and interactive charts in D3.js or Plotly.

Your first week

A simple day-by-day plan to get you started smoothly — no experience needed.

0 of 7 activities complete Start with Day 1 whenever you are ready.

Finding datasets on Kaggle & government portals

⏱️ ~20 min

💡 Pick a topic you personally love (e.g. coffee, space).

Data cleaning and grouping in Pandas

⏱️ ~30 min

💡 Handle missing NaN values first.

Matplotlib & Seaborn custom styling themes

⏱️ ~30 min

💡 Remove chart junk and unnecessary borders.

Interactive choropleth maps with Plotly

⏱️ ~35 min

💡 Color palettes should be colorblind accessible.

Publishing a data story graphic on Reddit/X

⏱️ ~30 min

💡 Include clear title, units, and data source footnote.

Set up your space

Learn one foundation

Learn from people doing it

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This week’s community promptShow something unfinished and share what you will try next.

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