(Editor’s note: This post is one in a series by Kobielus on the role of the data scientist. Click the following titles to read his previous posts “Data Scientist: Important New Role or Trendy Job-Title Inflation?” and “Data Scientist: What Skills Does It Require?”, "Data Scientist: Is This Really Science or Just Pretension?" and "Data Scientist: Which Adjacent Roles are Central?")
Data science has historically had to content itself with mere samples. Few data scientists have had the luxury of being able amass petabytes of data on every relevant variable of every entity in the population under study.
Register or login for access to this item and much more
All Information Management content is archived after seven days.
Community members receive:
- All recent and archived articles
- Conference offers and updates
- A full menu of enewsletter options
- Web seminars, white papers, ebooks
Already have an account? Log In
Don't have an account? Register for Free Unlimited Access