Prediction

Video placeholder
Loading...
View Syllabus

Skills You'll Learn

Gibbs Sampling, Bayesian Statistics, Bayesian Inference, R Programming

Reviews

4.8 (470 ratings)

  • 5 stars
    83.19%
  • 4 stars
    12.76%
  • 3 stars
    2.12%
  • 2 stars
    0.85%
  • 1 star
    1.06%

TO

Nov 23, 2020

I learned a lot about MCMC. This course is taught using R, but I personally was also working on it in python at the same time. I would love to try a higher class. Thank you!

AD

Aug 21, 2023

I loved the structure very much. At the end we have to do a project and review peer project. This idea is very good. The teaching is also very through and structured.

From the lesson

Common statistical models

Linear regression, ANOVA, logistic regression, multiple factor ANOVA

Taught By

  • Placeholder

    Matthew Heiner

    Doctoral Student

Explore our Catalog

Join for free and get personalized recommendations, updates and offers.