Data Science: What is it? Why is everyone talking about it? Should you be doing it? (You probably are already)

Thursday, June 6, 2019 - 9:30am - 10:15am
Keller 3-180
Rebecca Nugent (Carnegie Mellon University)
About the Speaker: Rebecca Nugent is the Associate Department Head and Director of Undergraduate Studies for Carnegie Mellon Statistics & Data Science. She works in clustering and classification methodology with an emphasis on high-dimensional, big data problems and record linkage applications. She was won several national and university teaching awards including the ASA Waller Award for Innovation in Statistics Education and serves as one of the co-editors of the Springer Texts in Statistics. She recently served on the National Academy of Sciences study on Envisioning the Data Science Discipline: The Undergraduate Perspective. She is the Founding Director of the Statistics & Data Science Corporate Capstone program, an experiential learning initiative that matches groups of faculty and students with data science problems in industry, non-profits, and government organizations. Her current research focus is the development and deployment of low-barrier data analysis platforms that allow for adaptive instruction and the study of data science as a science.

Today's Lecture: In this talk, we will look at an overview of the national landscape in data science education and opportunities with a focus on inclusivity in all disciplines and experiential learning.