University of Toronto

“Teaching Statistics in a Data Science World”

Date: Thursday, March 21, 2019
Time: 2:45 p.m.
Location: P230 Duff Roblin

Statistics is undergoing a period of profound transformation, disrupting its practice, research, and teaching. In this context, there is agreement that our undergraduate statistics programs need to cover more territory, including data analysis, statistical theory, computational skills for data wrangling, visualization and analysis, and oral and written communication. I’ll describe the process of developing an undergraduate curriculum designed to reflect this and the structure of the resulting program of study. I’ll illustrate the progression of students’ acquisition of the knowledge, skills and attitudes that we want our graduating students to have with examples from a first course in statistical reasoning and data science and from a capstone course in statistical practice.

Important Dates

February 18: Louis Riel Day (University Closed)

February 18 – February 22: Reading Week (No classes)

Upcoming Seminars

Statistics seminar: Aleeza Gerstein: “Levelling up R for Statistical Research and Teaching (Vignettes from RStudio::Conf)” — Thursday, February 28 at 2:45 p.m., P230 Duff Roblin.

Statistics seminar: Jame Fu: “Distribution of number of Levels in [s]-specified random permutation: A finite Markov Chain Imbedding Approach” — Thursday, March 7 at 2:45 p.m., P230 Duff Roblin.

Statistics seminar: Alison Gibbs: “Teaching Statistics in a Data Science World” — Thursday, March 21 at 2:45 p.m., P230 Duff Roblin.

Where are they now?

John Petkau, B.Sc. Mathematics & Statistics (1971)

Mostofa Sarkar, M.Sc. (2012)