Alfred Lee earned his doctorate in experimental physics before transitioning to a career making data useful for business decisions. Currently, he is a Data Scientist at Paperless Post where he works to extract useful patterns from complex data sets to better understand users and to improve the product. His data science career began at Bitly, where he learned to coax insights out of large data sets efficiently. He has been known to run internal workshops to educate his coworkers on topics related to his work.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.