Visit this excellent video interview with David Dietrich, creator of EMC’s data science curriculum. He talks about his experience helping people transition to becoming data scientists.
David lays out a list of 5 traits of a data scientist.
- Quantitative
- Technical
- Skeptical
- Communication and Collaboration
- Creative and Curiosity
For a diagram of these 5 traits, see this brief writeup about the profile of a data scientist. Also, see the slides of his latest talk at EMC World 2012.
**Note: I removed the embedded video because it was set to automatically play the video
Thanks for the kind words Ryan, I’m glad you liked this video.
If you are interested in reading more on this, I’d like to point you to 2 other places on the web where I write about similar topics: (1) a blog series I write for EMC regarding the types of profiles of people who have come to the course I teach who want to become data scientists and what different kinds of people need to do to move into data science, depending on their starting point https://infocus.emc.com/author/david_dietrich/ and (2) a blog series I co-authored on applying our data analytic lifecycle methodology to analyzing innovation data at EMC, with posts regarding each key step in the process. http://stevetodd.typepad.com/my_weblog/data-science-and-big-data-curriculum/ .
Good luck to you in this blog series, and glad to see more people trying to help each other learn about data science. If you would like to learn more about the 1 week course I co-developed on this, you can check here too: http://education.emc.com/guest/campaign/data_science.aspx.
Regards, David
David,
Thanks for commenting. I will definitely take a look at those links. Keep up the good work at EMC.
Ryan