The art and science of teaching data science

Invited

By Mine Çetinkaya-Rundel in talk invited

November 11, 2021

Date

November 11, 2021

Time

9:00 AM

Location

Online

Event

University of Edinburgh Learning and Teaching Forum

Modern statistics is fundamentally a computational discipline, but too often this fact is not reflected in our statistics curricula. With the rise of data science, it has become increasingly clear that students want, expect, and need explicit training in this area of the discipline. Additionally, recent curricular guidelines clearly state that working with data requires extensive computing skills and that statistics students should be fluent in accessing, manipulating, analyzing, and modeling with professional statistical analysis software. In this talk, we introduce the design philosophy behind an introductory data science course, discuss in progress and future research on student learning as well as new directions in assessment and tooling as we scale up the course.

Posted on:
November 11, 2021
Length:
1 minute read, 114 words
Categories:
talk invited
Tags:
data-science-education
See Also:
Let them eat cake (first)!
Introduction to data science, for all, online
Let them eat cake (first)!