Subscribe to DSC Newsletter

Three thoughts this time, for our first edition of Thoughts of the Week.

Thought #1

An estimate that is slightly biased but robust, model-independent, easy to compute, and easy to interpret, is better than one that is a non-biased, difficult to compute, mysterious, or not robust. That's one of the differences between data science and statistics.

Thought #2

Learning how to code, especially SQL, should be the last step in becoming a data scientist, because it creates highly rigid thinking, while data science is about ideas, problem solving, vision, initiative and flexibility (the opposite of coding).

Thought #3

Data science is not built on stats taught in traditional stats programs. It is based on modern stats that are not found in stats textbooks, though quite a bit can be found in modern machine learning books.

Source for this sarcastic picture: timoelioot.com

DSC Resources

Additional Reading

Follow us on Twitter: @DataScienceCtrl | @AnalyticBridge

Views: 822

Comment

You need to be a member of Data Science Central to add comments!

Join Data Science Central

Comment by Christian Cantos on November 23, 2014 at 7:39am

Dear Dr granville,

I would like to agree with thought nbr 2, but do you think that lower priority to coding skill is the current trend ?

From the beginning big data is a computer oriented technique, and most of the people using hadoop that I know are without stats knowledge, but with strong development skills, which makes them more employable than statisticians for instance.

Follow Us

Videos

  • Add Videos
  • View All

Resources

© 2018   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service