Python - 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/