Complete List of resources to learn data science

ADD YOUR RECOMMENDED RESOURCE HERE:

MOOC - Massively Online Open Course

http://cm.dce.harvard.edu/2014/01/14328/publicationListing.shtml

http://sebastianraschka.com/notebooks/ml-notebooks.html

http://sebastianraschka.com/faq/index.html

http://sebastianraschka.com/books.html#python-machine-learning

https://www.datacamp.com/home#python-courses

Still somewhat new; needs more in depth content compared to their R courses

The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

Statistics & Machine Learning

http://statweb.stanford.edu/~tibs/ElemStatLearn/

Ian Goodfellow, Yoshua Bengio, and Aaron Courville

http://www.deeplearningbook.org/

Excellent introduction and review of the state of the art in deep learning

MOOC - Massively Online Open Course

https://www.edx.org/course/foundations-data-analysis-part-1-utaustinx-ut-7-11x

Foundations of Data Analysis - Part 2: Inferential Statistics

MOOC - Massively Online Open Course

https://www.edx.org/course/foundations-data-analysis-part-2-utaustinx-ut-7-21x

MOOC - Massively Online Open Course

Data Analysis & Statistics

https://www.edx.org/course/analytics-edge-mitx-15-071x-2

Very solid introduction to those starting

https://www.datacamp.com/courses/intro-to-python-for-data-science

MOOC - Massively Online Open Course

https://lagunita.stanford.edu/courses/DB/SQL/SelfPaced/info

https://www.otexts.org/book/fpp

http://www.users.csbsju.edu/~mgass/robert.pdf

http://www-bcf.usc.edu/~gareth/ISL/ISLR%20First%20Printing.pdf

MOOC - Massively Online Open Course

http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html

I have just begun with this course. Found it very useful. It is an intermediate level course.

MOOC - Massively Online Open Course

R, Data Science, Machine Learning

https://www.udemy.com/data-science-and-machine-learning-bootcamp-with-r/

Very complete for beginners.

Machine learning projects

Machine Learning,Programming

MOOC - Massively Online Open Course

Natural Language Processing

https://www.datacamp.com/courses/intro-to-text-mining-bag-of-words

A very good course to learn text mining. More practical, less theory

Statistical\Machine Learning

https://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/

heavy on statistics but worth of watching\reading

Each new user get 15 free hours for computation

MOOC - Massively Online Open Course

https://www.coursera.org/specializations/jhu-data-science

MOOC - Massively Online Open Course

https://www.coursera.org/specializations/data-science

https://www.amazon.com/gp/product/0596802358/

Linear Algebra & Programming

https://www.khanacademy.org/math/linear-algebra

Linear Algebra & Programming

https://www.amazon.com/gp/product/0536667470

Linear Algebra & Programming

https://www.amazon.com/Manga-Guide-Linear-Algebra/dp/1593274130

http://stanford.edu/class/ee364a/index.html

https://www.coursera.org/learn/statistical-inference

https://www.coursera.org/learn/bayesian

https://www.amazon.com/gp/product/1449316824

http://greenteapress.com/thinkstats/

http://greenteapress.com/wp/think-bayes/

Differential Equations & Calculus

http://nbviewer.jupyter.org/github/URXtech/techblog/blob/master/continuousTimeMarkovChain/markovChain.ipynb

https://www.amazon.com/gp/product/069111966X

http://datasciencetoolbox.org/

https://www.coursera.org/learn/algorithm-design-analysis

https://www.amazon.com/gp/product/0321295358

Distributed Computing Paradigm

https://www.udacity.com/course/intro-to-hadoop-and-mapreduce--ud617

https://lagunita.stanford.edu/courses/Engineering/db/2014_1/about

https://community.modeanalytics.com/sql/tutorial/introduction-to-sql/

http://sqlzoo.net/wiki/SQL_Tutorial

http://i.stanford.edu/~ullman/mmds.html

https://www.amazon.com/gp/product/1449367615/

http://nlp.stanford.edu/IR-book/information-retrieval-book.html

Machine Learning - Foundational/Theoretical

https://www.coursera.org/learn/machine-learning

Machine Learning - Foundational/Theoretical

Machine Learning - Foundational/Theoretical

http://statweb.stanford.edu/~tibs/ElemStatLearn/

Machine Learning - Foundational/Theoretical

http://work.caltech.edu/lectures.html

Machine Learning - Practical

https://www.amazon.com/gp/product/0596529325/

Machine Learning - Practical

http://nbviewer.jupyter.org/github/carljv/Will_it_Python/blob/master/MLFH/CH1/chapter1.ipynb

Machine Learning - Practical

https://www.youtube.com/watch?v=r4bRUvvlaBw

Probabilistic Programming and Bayesian Methods for Hackers

https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

https://www.coursera.org/learn/probabilistic-graphical-models

Deep Learning (Neural Networks)

http://karpathy.github.io/neuralnets/

Deep Learning (Neural Networks)

https://www.coursera.org/learn/neural-networks

Deep Learning (Neural Networks)

http://cs224d.stanford.edu/syllabus.html

Social Network & Graph Analysis

https://www.coursera.org/learn/social-economic-networks

Social Network & Graph Analysis

https://www.amazon.com/gp/product/1449306462/

Natural Language Processing

http://web.stanford.edu/class/cs124/

Natural Language Processing

http://www.nltk.org/book/

Natural Language Processing

http://norvig.com/spell-correct.html

https://community.modeanalytics.com/python/

https://www.amazon.com/gp/product/1449319793

http://nbviewer.jupyter.org/github/Jay-Oh-eN/happy-healthy-hungry/blob/master/h3.ipynb

The Truthful Art: Data, Charts, and Maps for Communication

Data Communication and Design

https://www.amazon.com/Truthful-Art-Data-Charts-Communication/dp/0321934075/

Data Communication and Design

https://www.amazon.com/gp/product/0961392118/

Data Communication and Design

https://www.amazon.com/gp/product/0961392118/

Information Dashboard Design: Displaying Data for At-a-Glance Monitoring

Data Communication and Design

https://www.amazon.com/gp/product/1938377001

University of Washington

Data Communication and Design

http://courses.cs.washington.edu/courses/cse512/14wi/

Data Communication and Design

http://vis.berkeley.edu/courses/cs294-10-sp11/wiki/index.php/CS294-10_Visualization

Data Communication and Design

http://had.co.nz/stat645/

Data Communication and Design

http://alignedleft.com/tutorials/

Data Communication and Design

http://chimera.labs.oreilly.com/books/1230000000345/index.html

https://learnpythonthehardway.org/book/

https://developers.google.com/edu/python/?csw=1

http://greenteapress.com/wp/think-python/

Library - Machine Learning Packages

http://scikit-learn.org/stable/

Library - Networks Packages

http://networkx.github.io/

Library - Statistical Packages

https://pypi.python.org/pypi/pymc

Library - Statistical Packages

http://statsmodels.sourceforge.net/

Library - Statistical Packages

Library - Natural Language Processing & Understanding

Library - Natural Language Processing & Understanding

https://pypi.python.org/pypi/gensim

https://github.com/ryanmcgrath/twython

Library - Visualization Packages

http://matplotlib.org/gallery.html

Library - Visualization Packages

https://stanford.edu/~mwaskom/software/seaborn/tutorial/distributions.html

A Gallery of Interesting IPython Notebooks - Pandas for Data Analysis

https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks#pandas-for-data-analysis

https://github.com/datasciencemasters/go/blob/master/datasets.md

https://www.youtube.com/watch?v=h9vQIPfe2uU

https://www.youtube.com/watch?v=fZuDwiM1XBQ