Read on Twitter
SO YOU WANT TO BE A BAYESIAN : (since I compiled a quick list of Bayesian resources today, I figured I should share; these are just my opinion!) https://twitter.com/ChelseaParlett/status/1329572163947433986
Beginner book (R): Bayesian Statistics the fun way — https://www.amazon.com/dp/B07J461Q2K/ref=dp-kindle-redirect?_encoding=UTF8&btkr=1 Beginner-Intermediate book (R + JAGS + Stan): Doing Bayesian Data Analysis: https://www.amazon.com/Doing-Bayesian-Data-Analysis-Tutorial/dp/0123814855
Intermediate book (R + Stan) : Statistical Rethinking—https://www.amazon.com/Statistical-Rethinking-Bayesian-Examples-Chapman/dp/1482253445
Intermediate/Advanced Book (R + Stan) : Bayesian Data Analysis ( https://www.amazon.com/Bayesian-Analysis-Chapman-Statistical-Science/dp/1439840954/)
Bayesian modeling for cogsci + psych (R + JAGS + BUGS): Bayesian Cognitive Modeling ( https://bayesmodels.com/ )
Software: I 
brms and rstan in R (brms uses lm() syntax + you can use the command stancode() to get the Stan code from a brms model in order to learn Stan.)Stan is good for models where you need direct control over everything).
Tidybayes and bayesplot are helpful side packages too.
People’s writing: Paul Burkner ( https://paul-buerkner.github.io/publications/ ) Michael Betancourt ( https://betanalpha.github.io/writing/ ; I recommend starting with towards a principled bayesian workflow) Solomon Kurz ( https://solomonkurz.netlify.app/post/ )
YT videos: Statistical Rethinking (associated with the book)— https://www.youtube.com/channel/UCNJK6_DZvcMqNSzQdEkzvzA/videos
a few #bayesTwitter people/software to follow: @betanalpha @paulbuerkner @SolomonKurz @EJWagenmakers @VandekerckhoveJ @richarddmorey @rlmcelreath @JeffRouder @willkurt @Corey_Yanofsky @mcmc_stan
