DrSkippy/Data-Science-45min-Intros resource

Health v2 · maintenance only

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1585 stars · 467 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of IPython notebook presentations from a data science team covering Python programming, statistics, and machine learning fundamentals in 45-minute lesson formats. It is designed for self-study or team-based learning sessions.

Use cases

• learn data science basics with jupyter notebooks
• introduction to pandas and scikit-learn tutorials
• teach my team statistics and machine learning in short sessions
• learn python programming concepts like oop and generators
• understand a/b testing and causal inference
• intro to k-means clustering and logistic regression
• self-study materials for data munging and analysis

When to choose

• you want hands-on notebook-based introductions to data science topics
• you are running weekly team learning sessions and need ready-made lessons
• you are a beginner wanting short intros to Python, statistics, and ML

When to avoid

• you need comprehensive, up-to-date course material (content dates to ~2019)
• you want production code or libraries rather than educational notebooks
• you need structured curriculum with assessments or certification

Facets

learning-resource · maturity maintenance

data-science machine-learning nlp testing developer-tools data-science machine-learning education tutorials python cross-platform jupyter-notebooks tutorials statistics python team-learning ipython

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markdown · JSON · MCP: product_card(name="DrSkippy/Data-Science-45min-Intros")