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“If I was in charge, Data Science would be a requirement at the collegiate level, the high school level, the junior high level, and at the grade school level … Data is so centric to everything, I think we’re missing the boat by not having it integrated into everything.”

In this episode, Steven Levitt, the William B. Ogden Distinguished Service Professor of Economics at the University of Chicago and co-author of Freakonomics shares his experiences as a leader in the ‘Data Science for All’ movement and as an active proponent of Data Science Education in general. Additionally, Levitt elaborates on his perspective on how Data Science integrates within the field of Economics; he discusses how courses that he teaches utilize Data Science tools in practical ways, and pinpoints the challenges in integrating these tools at different educational levels. In this conversation, Professor Levitt shares many more meaningful insights into his busy world of teaching, writing, and podcasting - we hope you enjoy this 'must-listen’ episode!

“If Economics continues to be the major it is now, and Data Science emerges as an alternative, a good chunk of people who are currently going into economics will realize that it makes much more sense to become a Data Science major, with a minor in economics - and I would say they’re making the right choice!”

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