Millennium Technology Group LLC
Data Literacy for Data Science
Recommended Data Science Books & Publications
- Five Frogs on a Log: A CEO's Field Guide to Accelerating the Transition in Mergers, Acquisitions And Gut Wrenching Change - by Mark L. Feldman and Michael F. Spratt
- How Not to Be Wrong: The Power of Mathematical Thinking - by Jordan Ellenberg
- Errors, Blunders, and Lies - by David Salsburg
- Statistical Analysis with R for Dummies - by Joseph Schmuller, PhD.
- The Lady Tasting Tea - How Statistics Revolutionized Science in the Twentieth Century - by David Salsburg
- naked statistics - Stripping the Dread from the Data - Charles Wheelan
- Data Science for Business - Foster Provost & Tom Fawcett
- Mastering Data Analysis with R - Gergely Daróczi
- The Elements of Statistical Learning Data Mining, Inference, and Prediction - Trevor Hastie, Robert Tibshirani, Jerome Friedman
- Practical Data Science with R - Nina Zumel, John Mount
- Introduction to Empirical Bayes - Examples from Baseball Statistics - David Robinson
- R Cookbook - O’Reilly
- R Graphics Cookbook - O’Reilly
- Data-Driven Security Analytics: Analysis, Visualization and Dashboards - Jay Jacobs, Bob Rudis
- Machine Learning for Hackers - Drew Conway, John Myles White
- An Introduction to Statistical Learning with Applications in R- Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
- The Art of R Programming: A Tour of Statistical Software Design - Norman Matloff
- Visualizing Complex Data Using R - N.D. Lewis
- R in a Nutshell - O’Reilly
- R for Everyone - Jared P. Lander
- R Programming for Data Science - Roger D. Peng
- The R Book - Michael J Crawley
- Statistics in a Nutshell - Sarah Boslaugh
- Big Data Analytics Using Splunk: Deriving Operational Intelligence - Peter Zadrozny, Rahgu Kodali
- Pro Git Second Edition - Scott Chacon, Ben Straub