I have been reading and collecting data science resources for years (back in the days when BI / BA was all the rage). While there are lots of resources on the net, not all are great and some are even misleading.

Now, I have updated my collection and placed them into a neat Trello list, open to all.

Of course it features some of the great and interesting articles from data science central:

• One Page R: A Survival Guide to Data Science with R

• Six categories of Data Scientists

• Data Scientist Core Skills

• 66 job interview questions for data scientists

• 20 short tutorials all data scientists should read (and practice)

• 6000 Companies Hiring Data Scientists

As well as great stuff across the net:

• Introduction to Data Science
• Kaggle (data science competition) Winners' Solutions
• Forecasting: principles and practice using R
• 100+ Interesting Data Sets for Statistics
• Ben Sadeghi's short guide to Julia
• tryR
• free openintro Stats textbook
• Up And Running With Python – My First Kaggle Entry

And much, much more. Most are free and some are from the Ivy League (note: they can be challenging for the uninitiated)

So do check out the page. And if you have any resources to recommend, please comment below. You can also drop me a note on the feedback card or you can mail to [email protected] and I will add to the list.

Have fun learning!