Data Science for All - Effective Resources and Support for the Undergraduate Classroom
Are you teaching Introduction to Data Science? Dr. Hunter Glanz and Dr. Brennan Davis present effective strategies and cutting-edge resources for instructing students who have different skill levels.
Hunter Glanz, Professor of Statistics and Data Science, Cal Poly, San Luis Obispo
Brennan Davis, The Richard and Julie Hood Professor and director of graduate analytics programs, Cal Poly, San Luis Obispo
Introduction to Data Science is a fast-evolving course in the US undergraduate curriculum. What might effective classroom resources for this course look like? How can we support students of varied computational and quantitative skill levels and assess their progress through the course? Join Drs. Hunter Glanz and Brennan Davis, professors at California Polytechnic State University, and authors of Pearson's new Data Science for All as they explore these topics and more.
About the speakers
Hunter Glanz, Professor of Statistics and Data Science, Cal Poly, San Luis Obispo
Hunter Glanz is a Professor of Statistics and Data Science at California Polytechnic State University (Cal Poly, San Luis Obispo). He received a BS in mathematics and a BS in statistics from Cal Poly, followed by an MA and PhD in statistics from Boston University. He maintains a passion for data science, machine learning, and statistical computing and enjoys teaching courses in those areas. Hunter serves on numerous committees and organizations dedicated to delivering cutting-edge statistical and data science content to students and professionals alike, including being a founding board member of the California Alliance for Data Science Education.
Brennan Davis, The Richard and Julie Hood Professor and director of graduate analytics programs, Cal Poly, San Luis Obispo
Brennan Davis is the Richard and Julie Hood Professor and director of graduate analytics programs at the Orfalea College of Business at California Polytechnic State University (Cal Poly, San Luis Obispo). He received a BS in mathematics from the University of California, Los Angeles, an MBA from the Wharton School of Business at the University of Pennsylvania, and a PhD from the University of California, Irvine. Brennan currently teaches undergraduate and graduate analytics courses.