ramikrispin,
@ramikrispin@mstdn.social avatar

(1/2) Statistics for Applications - MIT Course 🚀👇🏼

If you are looking for a good intro to statistics, I recommend checking MIT's Statistics for Applications course by Prof. Philippe Rigollet. The course is a hard-core intro to applied statistics ❤️ and provides an in-depth of the math and theoretical foundation of statistical methods.

🧵👇🏼

ramikrispin,
@ramikrispin@mstdn.social avatar

(2/2) This full-term course (24 lectures) covers topics such as:
✅ Parametric inference
✅ Maximum likelihood estimation
✅ Parametric hypothesis testing
✅ Regression
✅ Bayesian statistics
✅ Principal component analysis
✅ Generalized linear models

Resources 📚
Lectures 📽️: https://www.youtube.com/playlist?list=PLUl4u3cNGP60uVBMaoNERc6knT_MgPKS0
Course website 🔗: http://ocw.mit.edu/18-650F16

Happy Learning!

  • All
  • Subscribed
  • Moderated
  • Favorites
  • datascience
  • DreamBathrooms
  • magazineikmin
  • InstantRegret
  • thenastyranch
  • cubers
  • Youngstown
  • ethstaker
  • slotface
  • mdbf
  • rosin
  • Durango
  • kavyap
  • GTA5RPClips
  • khanakhh
  • JUstTest
  • tacticalgear
  • ngwrru68w68
  • cisconetworking
  • modclub
  • everett
  • osvaldo12
  • tester
  • anitta
  • Leos
  • normalnudes
  • megavids
  • provamag3
  • lostlight
  • All magazines