I subscribe to at least a dozen online groups of BI, analytics, big data, and data science professionals. It's almost impossible for me to stay up to date on all the blogs, articles, and discussions, so instead I pick my spots, often as not attracted to provocative titles and lead-ins. Over the years I've been pleasantly surprised by the quality of the content.
A few weeks ago, a Data Science Central piece entitled “R Programming: 35 Job Interview Questions and Answers”, by Laetitia Van Cauwenberge, caught my eye for several reasons. First, as an R programmer and enthusiast, I wanted to see how I'd do on the “test”. Second, having primary responsibility for bringing analytics and data science professionals into my company, Inquidia, I wanted to get a sense of the author's R interviewing philosophy in comparison to mine.
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