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Because of the breath of the subject, there are a wealth of articles available on all aspects of Data Science and the challenge is to find those which address your specific areas of interest or help to advance your knowledge or understanding. Below you will find some resources that I have found valuable in directing and prioritising some of my areas of Data Science study and introducing specific technical topics.


Once you've embarked on your Data Science journey you might benefit from some of the experience and insights offered by the following articles.

Which machine learning algorithm should I use?Hui Li (SAS), April 2017

Comprehensive learning path – Data Science in Python

An overview of every Data Visualization course on the internet David Venturi (Udacity), June 2017

Data Visualization “Versus” UI and Data Science Lynn Cherny, April 2017

Some good "Statistics for programmers" resources Julia Evans, 2017

A comprehensive beginner’s guide to create a Time Series Forecast (with Codes in Python) Aarshay Jain, February 2016

The Hitchhiker’s Guide to d3.js Ian Johnson,

Essentials of Machine Learning Algorithms (with Python and R Codes)Sunil Ray, August 2015

A Tour of Machine Learning AlgorithmsLaetitia Van Cauwenberge, October 2015

Seeing Theory: A visual introduction to probability and statistics Daniel Kunin

The Algorithms Behind Probabilistic Programming Mike Williams, January 2017

SAS vs. R (vs. Python) – which tool should I learn? Kunal Jain, March 2014

AI, Deep Learning and Machine Learning: A Primer Frank Chen, June 2016

25 Must Know Terms & concepts for Beginners in Deep Learning Dishashree Gupta, May 2017

A comprehensive beginners guide to Linear Algebra for Data Scientists Vikas Kumar Yadav, May 2017

A Complete Tutorial to learn Data Science in R from Scratch February 2016

Using machine learning for insurance pricing optimization Kaz Sato, May 2017

A visual introduction to machine learning Stephanie Yee Tony Chu, July 2015

Three Real Use-Cases of Machine Learning in Business Applications Daniel Faggella, June 2017

Artificial Intelligence - Deep Learning Alfred Pong, November 2016

Driving Digital Transformation with Data Science as a Service Yustyna Velykholova, April 2017

Difference of Data Science, Machine Learning and Data Mining Leonard Heiler, March 2017

Big data & machine learning for Procurement Bertrand Maltaverne, July 2015