Best description of data science

http://blogs.nature.com/naturejobs/2013/03/18/so-you-want-to-be-a-data-scientist

When I asked Bruno Aziza last year how he would best describe a data scientist, his answer still sticks with me today. “Think of a data scientist more like the business analyst-plus,” he told me. Part mathematician, part business strategist, these statistical savants are able to apply their background in mathematics to help companies tame their data dragons. But these individuals aren’t just math geeks, per se.

“A data scientist is somebody who is inquisitive, who can stare at data and spot trends. It’s almost like a Renaissance individual who really wants to learn and bring change to an organization.” — Anjul Bhambhri, Vice President of Big Data Products, IBM

Favorite Websites for Data Scientists

Shown are the favorite websites using self reported results of all registered users on DataScienceCentral. It is interesting to note that Kdnuggets continues to be a strong leader as a data aggregator for the community even among the biased sample of DataScienceCentral members. It is also impressive to see R with such a strong pressence.

Favorite websites of Data Scientists
Self reported favorite websites based on over 40k registered users on DataScienceCentral

The list of links based on popularity is as follows:
[1] kdnuggets.com
[2] datasciencecentral.com
[3] kaggle.com
[4] sas.com
[5] analyticbridge.com
[6] r-bloggers.com
[7] flowingdata.com
[8] tdwi.org
[9] allanalytics.com
[10] r-project.org

Skills of a data quant

I’m really looking forward to the upcoming session at Predictive Analytics World: Necessary Skills of the Quant Across Sectors

What makes a quant a true rockstar? What kind of soft skills, what kind of tech skills and background, and what portfolio of experience? With the organizational process behind predictive analytics – across business applications such as fraud and marketing – something of an art form, the requisite skills of key analytics staff are multidimensional and often hard to nail down. This expert panel will grab a hammer and start defining exactly what’s needed in this very particular workforce.

Recently I saw the the article: Tips for hiring a data scientist in which it highlighted the importance of intellectual curriosity.