https://github.com/shervinea/mit-15-003-data-science-tools

Study guides for MIT's 15.003 Data Science Tools
https://github.com/shervinea/mit-15-003-data-science-tools

bash data-science git manipulation r retrieval sql study-guide visualization

Last synced: 3 months ago
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Study guides for MIT's 15.003 Data Science Tools

• Host: GitHub
• URL: https://github.com/shervinea/mit-15-003-data-science-tools
• Owner: shervinea
• License: mit
• Created: 2020-08-10T02:23:19.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2020-08-23T16:27:58.000Z (almost 4 years ago)
• Last Synced: 2024-01-17T12:30:28.723Z (6 months ago)
• Topics: bash, data-science, git, manipulation, r, retrieval, sql, study-guide, visualization
• Homepage: https://www.mit.edu/~amidi/teaching/data-science-tools/
• Size: 8.94 MB
• Stars: 1,733
• Watchers: 65
• Forks: 357
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-list - MIT Data Science Visual Study Guides

README

        
# Data Science Tools study guides for MIT's 15.003

## Goal

This repository aims at summing up in the same place all the important notions that are covered in MIT's 15.003 Data Science Tools course and includes:

- **Study guides** for SQL, R, Python, Git and Bash.

- **Conversion guides** between R and Python.

- All elements of the above combined in an **ultimate compilation of concepts**, to have with you at all times!

## Content

#### Study guides

||||

|:--:|:--:|:--:|

|Data retrieval with SQL|Data manipulation with R|Data manipulation with Python|

||||

|:--:|:--:|:--:|

|Visualization with R|Visualization with Python|Engineering tips|

#### Conversion guides between R and Python

|||

|:--:|:--:|

|Data manipulation|Visualization|

#### Super study guide

||

|:--:|

|All the above gathered in one place|

## Website

This material is also available on a dedicated [website](https://www.mit.edu/~amidi/teaching/data-science-tools/), so that you can enjoy reading it from any device.

## Authors

[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) and [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)