shervinea/mit-15-003-data-science-tools resource

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1945 stars · 378 forks observed · 2026-08-28

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

A collection of illustrated study guides and cheatsheets for MIT's 15.003 Data Science Tools course, covering SQL, R, Python, Git, and Bash. It includes R-to-Python conversion guides and a combined 'super study guide' compilation, available as PDFs and web pages in multiple languages.

Use cases

• learn SQL joins and window functions with a concise study guide
• find pandas equivalents for dplyr and tidyr operations
• review matplotlib and seaborn plotting concepts quickly
• brush up on Git and Bash commands before an interview
• study data manipulation and visualization fundamentals for a data science course

When to choose

• you want compact, illustrated reference material for SQL, R, Python, Git, or Bash
• you are transitioning between R and Python and need side-by-side conversion tables
• you are a student of MIT 15.003 or a similar introductory data science course

When to avoid

• you need in-depth tutorials or hands-on exercises rather than condensed cheatsheets
• you need up-to-date coverage of the latest library APIs, as the guides were last released in 2020
• you are looking for runnable code or a software tool rather than reference documents

Facets

learning-resource · maturity maintenance

data-science documentation developer-tools data-science tutorials education developer-tools cross-platform study-guide cheatsheets sql r python git bash data-visualization data-manipulation mit-course

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