Created by:  University of California, Santa Cruz

  • Matthew Heiner

    Taught by:  Matthew Heiner, Doctoral Student

    Applied Mathematics and Statistics
LevelIntermediate
Commitment5 weeks of study, 4-6 hours/week.
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.8 stars
Average User Rating 4.8See what learners said
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Coursework
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Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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University of California, Santa Cruz
UC Santa Cruz is an outstanding public research university with a deep commitment to undergraduate education. It’s a place that connects people and programs in unexpected ways while providing unparalleled opportunities for students to learn through hands-on experience.
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Ratings and Reviews
Rated 4.8 out of 5 of 49 ratings

terrific, so I've learn quite a lot basic knowledge about MCMC. So I can build kinds of models with better understanding.

The course requires good understanding of Bayesian methods and linear modelling, something that is covered in previous course of this track from University of California Santa Cruz.

All quizes are quite easy to complete after watching the videos, but don't be fooled by this apparent simplicity - there is much more to the class than just that.

Capstone project is challenging and does put to test all of the topic discussed in class,

discussion forums are very helpful and also are extremely interesting to read.

I can strongly recommend this class to anyone who is interested in Bayesian Methods.

I've seen quite a few of similar classes on Coursera, but this one is the best, in my opinion, but also is the hardest one.

Do not miss out on Honors track, recommended supplementary reading and Capstone - those are the gems.

A great course, very detailed and a very good instructor!

This course is excellent! The material is very very interesting, the videos are of high quality and the quizzes and project really helps you getting it together. I really enjoyed it!!!