getting-_started_data_science
Resources to get started in data science and teach yourself data science
Science Score: 44.0%
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Resources to get started in data science and teach yourself data science
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README.md
getting-starteddata_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
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/publicopensourcedatascience
If you get stuck conceptually or want to learn the basics of statistics, you can consult the free Introduction to Statistical Learning (ISLR) book
- https://www.statlearning.com/s/ISLRSeventhPrinting.pdf
Owner
- Name: Soumya Banerjee
- Login: neelsoumya
- Kind: user
- Location: Cambridge, UK
- Company: University of Cambridge
- Website: https://sites.google.com/site/neelsoumya/
- Repositories: 249
- Profile: https://github.com/neelsoumya
My research interests are in complex systems data science, machine learning, computational biology, computational immunology and computational immunogenomics.
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Banerjee" given-names: "Soumya" orcid: "https://orcid.org/0000-0001-7748-9885" title: "getting-_started_data_science" version: 1.0.0 doi: 10.5281/zenodo.4744562 date-released: 2021-09-05 url: "https://github.com/neelsoumya/getting-_started_data_science"
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