CSI Talk: Teaching Data Science

From last week's CSIG Talk, 

Speaker:  Dr. Mine Cetinkaya-Rundel, Duke University:
Suppose our goal is to educate the new generation of data scientists working on machine learning and artificial intelligence problems, and especially those who are not intimidated by learning new computing technologies. Where do we start their education at the college level? Which topics do we cover in their first course, and which topics do we postpone till later? In this talk, we propose an introductory data science course that places a heavy emphasis on exploratory data analysis and modeling as well as collaboration, effective communication of findings, and ethical considerations as a welcoming and horizon broadening introduction to the discipline at large.

Mine Çetinkaya-Rundel is the Director of Undergraduate Studies and Associate Professor of the Practice in the Department of Statistical Science at Duke University as well as Data Scientist and Professional Educator at RStudio. She is also the creator and maintainer of datasciencebox.org and she teaches the popular Statistics with R MOOC on Coursera as well as numerous courses on DataCamp. ... 

Data Science in a Box: http://datasciencebox.org     

Good inclusion of data visualization, exploratory analysis, decision making, cautions to bias ...

Slides from talk.
Recording of talk.