Data Science

• Top influential works the general field of “Big Data”
• The Elements of Data Analytic Style - Fantastic book by Jeff Leek available on Leanpub.
• 23 Universities with a Masters in Data Science
• Should you teach Python or R for data science? by Keven Markham - Nice breakdown of questions which help the reader decide which language is best for their course.
• 8 Skills You Need to be a Data Scientist by David Holtz - Breaks down the data science jobs into 4 types of jobs and 8 skills (see figure below).
• Ten simple rules for effective statistical practice
• Not So Standard Deviations Podcast - Podcast by Roger Peng and Hilary Parker. Talks about the latest in data science and data analysis in academia and industry.

Command line

• Data Science at the Command Line by Jeroen Janssens - Book published by O’Reilly that discusses command-line tools to gather, clean and explore data.

R

• 10 things statistics taught us about big data from Simply Statistics
• [STAT 545: Data wrangling, exploration and analysis with R] - Fantastic course from Jenny Bryan that runs in the fall, but materials are all available online.

Python

• Cheat sheet for writing compatible code between Python 2 and 3
• Short tutorial on how to get started with basic data analysis in Python from DataRobot - traffic accident data
• Tutorial that compares dplyr and pandas data frames