Lectures-Sp26

Lecture materials for UC San Diego COGS 108 Data Science In Practice for Spring 2026 quarter

Name		Name	Last commit message	Last commit date
data		data
img		img
.gitignore		.gitignore
00-Welcome.pdf		00-Welcome.pdf
01-VersionControl.pdf		01-VersionControl.pdf
02-MoreVersionControl.pdf		02-MoreVersionControl.pdf
03-Data.pdf		03-Data.pdf
04-Intuition.pdf		04-Intuition.pdf
05-Pandas.ipynb		05-Pandas.ipynb
06-Ethics.pdf		06-Ethics.pdf
07-Questions.pdf		07-Questions.pdf
08-Datavis.ipynb		08-Datavis.ipynb
09-Analysis.pdf		09-Analysis.pdf
10-EDA.pdf		10-EDA.pdf
11-Inference1.pdf		11-Inference1.pdf
12-Inference2.pdf		12-Inference2.pdf
13-Nonparametric-Inference.pdf		13-Nonparametric-Inference.pdf
14-Models.pdf		14-Models.pdf
15-Inference-and-models.ipynb		15-Inference-and-models.ipynb
16-Dimensionality-Reduction.pdf		16-Dimensionality-Reduction.pdf
17-Machine-Learning.pdf		17-Machine-Learning.pdf
18-Measuring-Machine-Learning.pdf		18-Measuring-Machine-Learning.pdf
19-ML-notebook.ipynb		19-ML-notebook.ipynb
20-Text.pdf		20-Text.pdf
21-NLP-Notebook.ipynb		21-NLP-Notebook.ipynb
22-How_to_be_wrong.pdf		22-How_to_be_wrong.pdf
23-How_to_be_even_more_wrong.pdf		23-How_to_be_even_more_wrong.pdf
24-How_to_be_wrong_with_others.pdf		24-How_to_be_wrong_with_others.pdf
25-WrongEthics.pdf		25-WrongEthics.pdf
26-Future.pdf		26-Future.pdf
D0-Python-Review.ipynb		D0-Python-Review.ipynb
LICENSE		LICENSE
README.md		README.md

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