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
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.7 stars
Average User Rating 4.7See what learners said
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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.

Excellent