Data Analysis & Statistical Inference

“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.

Highlights:

  • 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.

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Department:

  • Statistical Science

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Launch Date:

  • February 2014