“Data Analysis & Statistical Inference” introduces students to the discipline of statistics as a science of understanding and analyzing data. Participants learn how to effectively make use of data in the face of uncertainty: how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.
- Focused on free, open-access resources including instructor-authored textbook, data sets, and statistical analysis software.
- Part of a series of Duke courses on Reasoning, Data Analysis and Writing, one of Coursera’s first ten Specializations.
- Part of a study on student learning in introductory-level MOOCs (with Dorian Canelas).
- Videos and materials are used to flip Çetinkaya-Rundel’s introductory statistics course at Duke.
- Videos from the course are used to teach Ph.D. students at the Graduate School of Law of the Higher School of Economics in Moscow, Russia
- Materials will be used in a fee-based certificate program in Duke Continuing Studies.
- Cetinkaya-Rundel, with Dorian Canelas, leads a Bass Connections team conducting research on the effectiveness of MOOCs and other styles of online education.
Media & Publications:
- A Passion for Stats and the Beauty of Bayes: A Duke Professor on Teaching Online – Class Central (2015)
- Duke bridges gap between online and classroom, to mixed results – The Chronicle (2014)