From Novice to Data Ninja
summary
Two‑hour hands‑on tutorial that actually builds working examples: clones the Novice2DataNinja repo, reads CSVs with pandas, computes great‑circle distances with scipy, builds a NetworkX graph and finds 22 connected components from state capitals; scrapes 65 abstracts, vectorizes with TF‑IDF (587‑word vocab) and runs NMF yielding TF‑IDF → NMF (5 topics); loads WAV bird clips, plots spectrograms, aligns signals via FFT cross‑correlation, and extracts video background with imageio + NMF — each pipeline runs end‑to‑end.
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chapters (6)
- 0:00Data tricks overview
- 7:13Spatial networks visualization
- 33:54Web scraping basics
- 1:27:44Bird song analysis
- 1:46:11Video background extraction
- 1:53:37Q&A
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