Bayesian Statistics
Below are the top discussions from Reddit that mention this online Coursera course from Duke University.
This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates.
Bayesian Statistics Bayesian Linear Regression Bayesian Inference R Programming
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Taught by
Mine ÇetinkayaRundel
Associate Professor of the Practice
and 3 more instructors
Offered by
Duke University
Reddit Posts and Comments
1 posts • 6 mentions • top 5 shown below
29 points • not_rico_suave
Coursera just created a Bayesian Statistics course that starts in July
13 points • wind_of_amazingness

Part of "Statistics with R" specialization. I can recommend it to someone who has fair knowledge of confidence intervals, hypthesis testing etc. since it does a great job in comparing classical statistical methods with their Bayesian counterparts: https://www.coursera.org/learn/bayesian/home/welcome

Nice class that teaches you basic stuff about how MCMC works and lets you play with it in JAGS: https://www.coursera.org/learn/mcmcbayesianstatistics/home/welcome

This is big, quite complex specialization that teaches about graphical models that have knowledge engineering, priors and Bayesian inference as their primary ways of building and training the models. It does go over MCMC. I would not recommend this specialization to someone who wants to start learning, but someone who is fairly familiar with MCMC and variational inference would find a lot of cool stuff in PGMs that were "the best thing" before deep learning revolution: https://www.coursera.org/specializations/probabilisticgraphicalmodels

Bayesian Methods for Hackers is an easy to read book (available online as a github repo with all source code) that shows some of the tricks that are extremely difficult to pull off if you are using more commonplace MLE methods. This is highly recommended: https://github.com/CamDavidsonPilon/ProbabilisticProgrammingandBayesianMethodsforHackers
1 points • ruslankl
I ended this Coursera course on Bayesian statistics link. It's paid (as a part of Statistics Specialization) but you can still watch videos for free.
1 points • BlueDevilStats
No worries. I think DS Math Skills is ok if you want a review of very basic math topics, but there are better courses by Duke:
Introduction to Probability and Data Inferential Statistics Bayesian Statistics Linear Regression and Modeling
3 points • jlemien
Yes, there are many free courses that you can use to learn the prerequisite mathematics. KhanAcademy would be my first recommendation, but you can also try some of these:
Inferential Statistics https://www.coursera.org/learn/inferentialstatistics
Bayesian Statistics: From Concept to Data Analysis https://www.coursera.org/learn/bayesianstatistics
Inferential Statistics Intro https://www.coursera.org/learn/inferentialstatisticsintro
Bayesian Statistics https://www.coursera.org/learn/bayesian
Basic Statistics https://www.coursera.org/learn/basicstatistics
Introduction to Probability https://www.edx.org/course/introductionprobabilitysciencemitx6041x2
Introduction to Linear Models and Matrix Algebra https://www.edx.org/course/introductionlinearmodelsmatrixharvardxph5252x2
Intro to Descriptive Statistics https://www.udacity.com/course/introtodescriptivestatisticsud827
Intro to Inferential Statistics https://www.udacity.com/course/introtoinferentialstatisticsud201
Mathematics for Computer Science https://ocw.mit.edu/courses/electricalengineeringandcomputerscience/6042jmathematicsforcomputersciencefall2010/index.htm
An Intuitive Introduction to Probability https://www.coursera.org/learn/introductiontoprobability
Statistical Inference https://www.coursera.org/learn/statisticalinference
College Algebra and Problem Solving https://www.edx.org/course/collegealgebraproblemsolvingasuxmat117x
Precalculus https://www.edx.org/course/precalculusasuxmat170x