Created by:  Duke University

  • Merlise A Clyde

    Taught by:  Merlise A Clyde, Professor

    Department of Statistical Science

  • Colin Rundel

    Taught by:  Colin Rundel , Assistant Professor of the Practice

    Statistical Science

  • David Banks

    Taught by:  David Banks, Professor of the Practice

    Statistical Science

  • Mine Çetinkaya-Rundel

    Taught by:  Mine Çetinkaya-Rundel, Associate Professor of the Practice

    Department of Statistical Science
Basic Info
Commitment5-10 hours/week
How To PassPass all graded assignments to complete the course.
User Ratings
4.7 stars
Average User Rating 4.7See what learners said

How It Works

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Duke University
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
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Ratings and Reviews
Rated 4.7 out of 5 of 51 ratings

Great lead up to a final capstone project, in which you test a model for overfitting and validate on out-of-sample data.

Very good !

This was a highly challenging sequence of four courses and capstone, but worth the considerable investment in time and effort. Overall, with just a few glitches here and there, the specialization was superbly taught and well-designed. I thank Mine and the rest of the Stats team at Duke for offering it. I would also like to see Bayesian Stats made perhaps into two courses. Or even a follow-up Bayesian course perhaps not required for the specialization. Professor M. Clyde is one of the world's leading experts on Bayes, and the creator of the BAS package. All respect! I would like to have more of her teaching, but at a slightly less steeper learning curve. To my fellow students and the Duke team, thanks again.