# (Online) Course to learn about Bayesian Inference using Rstan

**URL:** <https://discourse.mc-stan.org/t/online-course-to-learn-about-bayesian-inference-using-rstan/17548>\
**Category:** General\
**Created:** [August 19, 2020, 2:59pm UTC](https://discourse.mc-stan.org/t/online-course-to-learn-about-bayesian-inference-using-rstan/17548 "2020-08-19T14:59:12Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![Jochen](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.mc-stan.org/jochen/32/4786_2.png) [@Jochen](https://discourse.mc-stan.org/u/Jochen)\
**Post date:** [August 19, 2020, 2:59pm UTC](https://discourse.mc-stan.org/t/online-course-to-learn-about-bayesian-inference-using-rstan/17548/1 "2020-08-19T14:59:12Z")

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Is there any (probably online in these days) course you can recommend to learn more about Bayesian inference and RStan? I have some basic understanding of coding simple models in Stan (e.g., linear regressions) and want to learn more about it. A good course may well cost something.

Any recommendation is welcome.

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**Author:** ![ssp3nc3r](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.mc-stan.org/ssp3nc3r/32/120_2.png) [@ssp3nc3r](https://discourse.mc-stan.org/u/ssp3nc3r)\
**Post date:** [August 19, 2020, 6:34pm UTC](https://discourse.mc-stan.org/t/online-course-to-learn-about-bayesian-inference-using-rstan/17548/2 "2020-08-19T18:34:07Z")

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All the below are free, though not specific to the `rstan` interface:

Ben Goodrich posts his lectures for graduate-level Bayesian statistics online: [https://www.youtube.com/playlist?list=PLSZp9QshJ8wxZ0Gc96WhiIU0NoRL\_R8ov](https://www.youtube.com/playlist?list=PLSZp9QshJ8wxZ0Gc96WhiIU0NoRL_R8ov)

Richard McElreath has posted his lectures, which follow his textbook: [https://www.youtube.com/playlist?list=PLDcUM9US4XdNM4Edgs7weiyIguLSToZRI](https://www.youtube.com/playlist?list=PLDcUM9US4XdNM4Edgs7weiyIguLSToZRI)

Ben Lambert, which relates to his textbook: [https://www.youtube.com/playlist?list=PLwJRxp3blEvZ8AKMXOy0fc0cqT61GsKCG](https://www.youtube.com/playlist?list=PLwJRxp3blEvZ8AKMXOy0fc0cqT61GsKCG)

I’m sure there are more.

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<div class="post-metadata">

**Author:** ![Jochen](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.mc-stan.org/jochen/32/4786_2.png) [@Jochen](https://discourse.mc-stan.org/u/Jochen)\
**Post date:** [August 20, 2020, 7:15am UTC](https://discourse.mc-stan.org/t/online-course-to-learn-about-bayesian-inference-using-rstan/17548/3 "2020-08-20T07:15:53Z")

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Thank you, that’s very helpful.

I was just wondering if there is nothing more applied than lectures on platforms like datacamp, coursera etc.?

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**Author:** ![mitzimorris](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.mc-stan.org/mitzimorris/32/29_2.png) [@mitzimorris](https://discourse.mc-stan.org/u/mitzimorris)\
**Post date:** [August 20, 2020, 1:23pm UTC](https://discourse.mc-stan.org/t/online-course-to-learn-about-bayesian-inference-using-rstan/17548/4 "2020-08-20T13:23:15Z")

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“more applied” - what do you mean?

Bayesian Inference is a general framework. you need to understand the theory and principles before you can put them into practice. the Stan case studies provide an excellent introduction - my fave is Bob Carpenter’s [Hierarchical Partial Pooling for Repeated Binary Trials](https://mc-stan.org/users/documentation/case-studies/pool-binary-trials.html) - perhaps I’m biased -

there are domain-specific examples of Stan models - again, in order to use them, you should understand the what these models do and follow the Bayesian workflow of model checking and model comparison.

- Education research using Stan - [https://education-stan.github.io](https://education-stan.github.io)
- Stan for Epidemiology - [https://epidemiology-stan.github.io](https://epidemiology-stan.github.io)
- Stan for Ecology - [https://stanecology.github.io](https://stanecology.github.io)
- " An Introduction to Bayesian Inference in Medicine using Stan" - Ben Goodrich, Sept 2018 - [https://mc-stan.org/workshops/Rmedicine2018/](https://mc-stan.org/workshops/Rmedicine2018/)

p.s. sounds like you’ve got RStan already - but if you don’t and run into install problems, consider CmdStanR - [http://mc-stan.org/cmdstanr/](http://mc-stan.org/cmdstanr/)