Mathematics for Data Science


Data science uses a combination of mathematics, statistics and computer science to help us solve questions of importance in a large number fields. In this workshop we will introduce the underlying mathematical principles of the field, with example problems gleaned from a number of different industries. By the end of the workshop the participant will know enough data science to explore their own problems, and be ready for more intermediate and advanced courses.

Session Outline:

Exploratory data analysis, regression modeling, clustering

Background Knowledge:

Some basic R programming


Eric Eager is the VP of Research and Development at SumerSports, a football analytics startup founded by Paul Tudor Jones and Jack Jones. Prior to joining Sumer, he held similar roles at Pro Football Focus, and is responsible for many of the insights that have grown the game of American football to this day. Eric holds a PhD in Mathematical Biology from the University of Nebraska, and has taught at Wharton, DataCamp and the University of Wisconsin - La Crosse, publishing over 25 academic papers during his career.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

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