Resources

Online Courses

Big Data University

Website: http://bigdatauniversity.com/
Description: The site includes free and fee-based courses.  Subject matter include Hadoop, R, Pig, and a variety of other topics.

Codecadamy

Website: http://www.codecademy.com/
Description: Learn to program Python.  Great course. I enjoy the Monty Python references throughout the courses.  My only complaint is the placement of the instructions.

Coursera

Website: https://www.coursera.org/
Description: One of my favorite online learning platforms.

Data Analysis and Visualization Using R

Website: http://dgrtwo.github.io/RData/
Description: A course that combines video, HTML and interactive elements to teach the statistical programming language R.

DataCamp

Website: https://www.datacamp.com/
Description: Learn R and become a Data Analyst.

Khan Academy

Website: https://www.khanacademy.org/
Description: Brush up on your math skills, and learn Python.

Udacity

Website: https://www.udacity.com/
Description: Online higher education courses covering a variety of topics.


Books

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

Author: Trevor Hastie, Robert Tibshirani, and Jerome Friedman
Where to find it: Online (pdf)

Hadoop for Dummies

Author: Robert Schneider
Where to find it: Online (pdf)

The Signal and the Noise: Why So Many Predictions Fail — but Some Don’t

Author: Nate Silver
Where to find it: Amazon, Public Library


Websites

Hal Varian’s Academic Papers

Website: http://people.ischool.berkeley.edu/~hal/people/hal/papers.html
Description: A UC Berkley emeritus professor’s thoughts on Big Data and Economics.

Johnathan Levian’s Papers

Website: http://www.stanford.edu/~jdlevin/research.htm
Description: A Stanford professors ideas. I really like The data revolution and economic analysis.

Listudy

Website: http://www.listudy.com/
Description: A great site which has lists for learning data science.


Suggestion Box

Did I miss something? Do you have a resource to recommend? Please let me know!

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