Loading…
This event has ended. Visit the official site or create your own event on Sched.
Click here to return to main conference site. For a one page, printable overview of the schedule, see this.
View analytic
Thursday, June 30 • 9:00am - 10:00am
Statistical Thinking in a Data Science Course

Log in to save this to your schedule and see who's attending!

The intuition and experience needed for sound statistics practice can be hard to learn, and a course that combines computing, statistics, and working with data offers an excellent learning environment in this regard. Moreover, an integrated approach to data science creates opportunities to reinforce statistical thinking skills throughout the full data analysis cycle, from data acquisition and cleaning to data organization and analysis to communicating results. As a result, students gain the ability to reason computationally, actively engage in statistical problem solving, and learn how to keep abreast of new technologies as they evolve. This talk describes approaches and provides examples for teaching data science in this integrated fashion.

Moderators
avatar for John Chambers

John Chambers

Stanford University

Speakers
avatar for Deborah Nolan

Deborah Nolan

UC Berkeley


Thursday June 30, 2016 9:00am - 10:00am
McCaw Hall 326 Galvez Street Stanford, CA 94305-6105

Attendees (389)