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Below you will find details of various books and other resources that I have used and found helpful on my Data Science journey. Some (†) are available on the internet as downloadable pdf files.

Book References

Brown, MS. (2014) “Data Mining for Dummies”, Hoboken: John Wiley & Sons, Inc.

Burd, B. (2012) “Beginning Programming with Java for Dummies”, 3rd ed. Hoboken: John Wiley & Sons, Inc.

Burd, B. (2011) “Java for Dummies”, 5th ed. Hoboken: John Wiley & Sons, Inc.

Forta, B. (2004) “Sams Teach Yourself SQL in 10 Minutes”, 3rd ed. Sams Publishing

Grus J. (2015) "Data Science from Scratch", 1st ed. O'Reilly Media ISBN 978-1-491-90142-7 †

Hastie, T. et al. (2008) "The Elements of Statistical Learning Data Mining, Inference, and Prediction", 2nd ed. Springer †

James, G. et al. (2015) "An Introduction to Statistical Learning with Applications in R", 6th ed. Springer †

Lantz, B. (2015) "Machine Learning with R", 2nd ed. Packt Publishing †

Loukides, M. (2011) "What is Data Science?", 1st ed. O'Reilly Media

Matloff, N. (2016) "From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science", †

Mitchell, R. (2015) "Web Scraping with Python", 1st ed. O'Reilly Media ISBN 978-1-491-91027-6 †

Patil, DJ. (2011) "Building Data Science Teams", O'Reilly Media ISBN 978-1-449-31623-5 †

Pierce, C. (2000) “Sams Teach Yourself Perl in 24 Hours”, 1st ed. Sams Publishing

Pierson, L. (2015) “Data Science for Dummies”, 1st ed. Hoboken: John Wiley & Sons, Inc.

Qi Zhun, N. (2013) “Data Visualization with D3.js Cookbook”, 1st ed. Birmingham: PACK Publishing ISBN 978-1-78216-216-2

Schutt, R. & O'Neil, C. (2013) "Doing Data Science", 1st ed. O'Reilly Media ISBN 978-1-449-35865-5 †

Shaw, ZA. (2014) “Learn Python the Hard Way”, 3rd ed. Addison-Wesley ISBN 978-0-321-88491-6

Vallentin, M. (2011) "Probability and Statistics Cookbook", †