https://github.com/neelsoumya/getting-_started_data_science

Resources to get started in data science and teach yourself data science
https://github.com/neelsoumya/getting-_started_data_science

data-science data-science-basic data-science-beginners datascience lmic low-medium-income-countries machine-learning python teaching teaching-materials teaching-resources

Last synced: about 1 month ago
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Resources to get started in data science and teach yourself data science

• Host: GitHub
• URL: https://github.com/neelsoumya/getting-_started_data_science
• Owner: neelsoumya
• License: gpl-3.0
• Created: 2021-03-20T18:23:01.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2026-01-18T10:33:54.000Z (6 months ago)
• Last Synced: 2026-01-27T20:47:55.718Z (6 months ago)
• Topics: data-science, data-science-basic, data-science-beginners, datascience, lmic, low-medium-income-countries, machine-learning, python, teaching, teaching-materials, teaching-resources
• Homepage:
• Size: 51.8 KB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Citation: CITATION.cff

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README

          
# getting-_started_data_science

Resources to teach yourself data science. These resources are suitable for students and working professionals, especially in low and medium income countries (LMICs). 

These resources give you the absolute basics to teach yourself data science at home. I assume you have a basic computer, an internet connection and an immense drive to learn!

* Learn programming (especially C and/or Python and/or R)

    * https://github.com/neelsoumya/programming_resources 

* Learn basic statistics

    * https://github.com/neelsoumya/basic_statistics

* Learn the basics of machine learning by consulting the free Introduction to Statistical Learning (ISLR) book

    * https://www.statlearning.com/s/ISLRSeventhPrinting.pdf

 

    * https://www.statlearning.com/

* Start an open source open data science project on a topic you are really interested in. This will become your data science portfolio. For example, see the following:

    * https://github.com/neelsoumya/public_open_source_data_science

* Machine learning in Python

   * https://github.com/neelsoumya/python_machine_learning/tree/main

* Basics of unsupervised machine learning

   * https://cambiotraining.github.io/ml-unsupervised/    

* Learn Large-language models (LLMs)

  * https://github.com/neelsoumya/intro_to_LMMs