# Data Science Books, Tutorials, and Courses

## Data Science Tutorials

* [Python 4 Data Science Ch](https://github.com/catalystfrank/Python4DataScience.CH) License: CC0

## Data Science Books

* [Data Science Ipython Notebooks](https://github.com/donnemartin/data-science-ipython-notebooks) License: Apache
* [Python for Data Science](https://github.com/gumption/Python_for_Data_Science) License: -
* [Python Data Science](https://github.com/leriomaggio/python-data-science) License: LGPL
* [Foundations of Computational Linguistics](https://foundations-computational-linguistics.github.io/)

## CC-BY Data Science Books

* [Learning Statistics with R](https://learningstatisticswithr.com/) License: CC-BY
* [Introduction to Open Data Science](https://ohi-science.org/data-science-training/) License: CC-BY
* [Python in a Notebook](https://github.com/leriomaggio/python-in-a-notebook) License: CC-BY

## CC-BY-NC Data Science Books

* [Data Science with R](https://github.com/jmstanto/data-science-r) License: CC-BY-NC
* [Data Science with R: A Resource Compendium](https://bookdown.org/martin_monkman/DataScienceResources_book/) License: CC-BY-NC
* [A Programmer's Guide to Data Mining](https://guidetodatamining.com/) License: CC-BY-NC

## CC-BY-ND Data Science Books

* [Data Science at the Command Line](https://www.datascienceatthecommandline.com/) License: CC-BY-ND
* [R for Data Science](https://r4ds.had.co.nz/) License: CC-BY-NC-ND
* [Principles and Techniques of Data Science](https://www.textbook.ds100.org/intro.html) CC-BY-ND-NC
* [Computational and Inferential Thinking The Foundations of Data Science](https://www.inferentialthinking.com/chapters/intro) License: CC-BY-NC-ND
* [Julia for Data Science](https://www.david-anthoff.com/jl4ds/stable/) License CC-BY-NC-ND
* [Principles and Techniques of Data Science](https://www.textbook.ds100.org/intro) License CC-BY-NC-ND
* [Probability for Data Science](https://prob140.org/textbook/README.html) CC-BY-NC-ND
* [Data Course by University of Berkeley](https://data8.org/) [Data Berkeley](https://data.berkeley.edu/data-science-all) License: CC-BY-NC-ND

## Free Data Science Books

* [Mathematics for Machine Learning](https://mml-book.github.io/) with Tutorial
* [Forecasting: Principles and Practice](https://otexts.com/fpp2/)
* [Speech and Language Processing](https://web.stanford.edu/~jurafsky/slp3/)
* [An Introduction to Statistical Learning with Applications in R](https://faculty.marshall.usc.edu/gareth-james/ISL/) [Python Version](https://github.com/JWarmenhoven/ISLR-python) and this [Python version](https://github.com/tdpetrou/Machine-Learning-Books-With-Python/tree/master/Introduction%20to%20Statistical%20Learning) and [MOOC](https://lagunita.stanford.edu/courses/HumanitiesSciences/StatLearning/Winter2016/about)
* [The Elements of Statistical Learning: Data Mining, Inference, and Prediction.](https://web.stanford.edu/~hastie/ElemStatLearn/)
* [Information Theory, Inference and Learning Algorithm](https://www.inference.org.uk/itila/book.html) with Octave companion
* [Data Science Bookcamp](https://www.manning.com/books/data-science-bookcamp)
* [Data Science from Scratch](https://github.com/joelgrus/data-science-from-scratch)
* [Python for Data Analysis Book](https://wesmckinney.com/pages/book.html) [GitHub](https://github.com/wesm/pydata-book)
* [Data Science Self Learn](https://github.com/ossu/data-science)
* [Data Science for Psychologists](https://bookdown.org/hneth/ds4psy/)
* [Introduction to Data Science](https://rafalab.github.io/dsbook/)
* [Data Science in Julia for Hackers - data\_science\_in\_julia\_for\_hackers](https://datasciencejuliahackers.com/)

## List of Data Science Books

* [Learn Data Sci](https://www.learndatasci.com/free-data-science-books/) List of Free Data Science Book
* [List Free Data Science Book](https://www.datasciencecentral.com/profiles/blogs/50-must-read-free-books-for-every-data-scientist-in-2020-1)
* [List Data Science Book with Bookdown](https://bookdown.org/)
* [List Data Science Deep Learning Python](https://www.theinsaneapp.com/2020/08/free-data-science-deep-learning-python-ebooks.html)


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