Tech Tutorial: Data visualization in Python

on YouTube ↗02h 31m

" summary

Two and a half hours of hands‑on demos plus Q&A, with all notebooks and cheat sheets on the Google Drive link. Covers practical EDA and plotting in Python using matplotlib, seaborn, plotly and pandas inside Jupyter, including executed examples: Boston housing; Kaggle housing; Pokémon; Medium dataset. Teaches dashboard design rules (Tufte, data‑ink, layout), common failures (pie charts, 3D, misleading axes, hiding with averages) and exporting interactive HTML plots. Workshop format alternates short lectures, live coding, and participant-driven demos.

AI-written summary · about

" chapters (8)

1. 0:00Data viz in Python intro
2. 45:00Effective viz principles
3. 1:04:57Dashboard design basics
4. 1:30:08Exploratory data analysis
5. 1:59:05Matplotlib and Seaborn
6. 2:16:51Plotly advanced viz
7. 2:21:10Complex data viz techniques
8. 2:30:02Q&A

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