Everything you need to learn DATA SCIENCE for FREE

Free Data Science learning resources. You can learn data science for nothing. This is a data science learning path. I will add to this list as I discover more content.

►Subscribe to my YouTube Channel http://bit.ly/2LCdOy1

3 (Paid for) Data Science Learning Platforms I would recommend

1. Data Quest - https://bit.ly/3hcLjbY (my favourite)
2 Data Camp - https://bit.ly/39erDk8
3 365 Data Science - https://bit.ly/3hbUHdd

2 Recommended Python Courses

1. Exploratory Data Analysis with Python and Pandas - https://bit.ly/2QXMpxJ
2. Complete Python Programmer Bootcamp - http://bit.ly/2OwUA09

Data Science Interview Preparation
StrataScratch https://bit.ly/30ul0nX

(These contain affiliate links, which means I receive a percentage of any sales made. There is no additional cost for anybody clicking on them)
Music by bensound.com

PYTHON BASICS

Introduction to Python, The Scientific Libraries, Advanced Python Programming and the Pandas Section of Data and Empirics https://lectures.quantecon.org/py/

Chapters 1 - 4 in this book https://github.com/jakevdp/PythonDataScienceHandbook/blob/8a34a4f653bdbdc01415a94dc20d4e9b97438965/notebooks/Index.ipynb

Then this Pandas tutorial https://pandas.pydata.org/pandas-docs/stable/getting_started/10min.html

Here are some excellent pandas code examples https://github.com/wesm/pydata-book
MATHS
LINEAR ALGEBRA

Essence of Linear Algebra https://www.youtube.com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
Khan Academy https://www.khanacademy.org/math/linear-algebra
https://betterexplained.com/articles/linear-algebra-guide/
Introduction to Methods of Applied Mathematics http://physics.bgu.ac.il/~gedalin/Teaching/Mater/am.pdf
Mathematical Tools for Physics http://www.physics.miami.edu/~nearing/mathmethods/mathematical_methods-one.pdf
https://www.math.ubc.ca/~carrell/NB.pdf (Linear Algebra Reference)
https://math.byu.edu/~klkuttle/EssentialLinearAlgebra.pdf (Reference)

CALCULUS

Essence of Calculus https://www.youtube.com/watch?v=WUvTyaaNkzM&list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr
https://www.khanacademy.org/math/calculus-1
https://www.khanacademy.org/math/calculus-2
https://www.khanacademy.org/math/multivariable-calculus

PRACTICE PYTHON PROJECTS
https://github.com/tuvtran/project-based-learning#python
https://projecteuler.net/

MORE PYTHON

Work through as many of the examples as you fancy in Chapters 6 and 7 here https://scipython.com/book/

DATA EXPLORATION

https://github.com/StephenElston/ExploringDataWithPython/blob/master/LearningDataVisualization.ipynb

https://www.kaggle.com/c/titanic#description

PROBABILITY AND STATISTICS

https://www.khanacademy.org/math/statistics-probability
http://greenteapress.com/thinkstats/thinkstats.pdf
https://bookboon.com/en/applied-statistics-ebook
http://www.wzchen.com/probability-cheatsheet/
STATISTICAL LEARNING

An Introduction to Statistical Learning https://www-bcf.usc.edu/~gareth/ISL/index.html (Essential)
https://work.caltech.edu/telecourse.html
Elements of Statistical Learning (Extremely useful)
https://web.stanford.edu/~hastie/ElemStatLearn/

PYTHON AND DATA SCIENCE

Chapter 5 Python Data Science Handbook https://github.com/jakevdp/PythonDataScienceHandbook/blob/8a34a4f653bdbdc01415a94dc20d4e9b97438965/notebooks/Index.ipynb

https://scikit-learn.org/stable/tutorial/index.html

DATA STRUCTURES AND ALGORITHMS IN PYTHON
https://eu.udacity.com/course/data-structures-and-algorithms-in-python--ud513
http://interactivepython.org/runestone/static/pythonds/index.html

TENSORFLOW
https://developers.google.com/machine-learning/crash-course/

SQL
https://www.khanacademy.org/computing/computer-programming/sql

GIT AND VERSION CONTROL

https://git-scm.com/book/en/v2

TAKE THIS CLASS
https://cs109.github.io/2015/index.html

R

https://www.r-bloggers.com/how-to-learn-r-2/

SUPPLEMENTARY MATERIAL

https://docs.python.org/3/tutorial/index.html

https://www.reddit.com/r/Python/

https://www.reddit.com/r/datascience/

https://stackoverflow.com/questions/tagged/python

https://datascience.stackexchange.com/

https://jupyter.org/

How to think like a computer scientist http://www.openbookproject.net/thinkcs/python/english3e/

WRITE A BLOG - https://onextrapixel.com/start-jekyll-blog-github-pages-free/
SLACK GROUPS: https://kagglenoobs.herokuapp.com/ https://datadiscourse.herokuapp.com/

Видео Everything you need to learn DATA SCIENCE for FREE канала Python Programmer