HAPPY ~STATISTICS SATURDAY~
Here's 5 super ✨unique✨ Statistics resources you probably haven't seen before:
Here's 5 super ✨unique✨ Statistics resources you probably haven't seen before:
#1- Seeing Theory: this interactive visual introduction to statistics helps you understand concepts like frequentist inference, bayesian inference, and regression analysis in such a clever way
seeing-theory.brown.edu/frequentist-in…
seeing-theory.brown.edu/frequentist-in…
#2 - StatQuest: free YouTube playlist, with some of the toughest concepts explained simply and visually.
TBH I needed the Maximum Likelihood video as a refresher!
youtube.com/playlist?list=…
TBH I needed the Maximum Likelihood video as a refresher!
youtube.com/playlist?list=…
#3- 40 Prob/Stat Interview Questions: real interview questions from @Google, @Amazon, @Uber and more.
Perfect if you have an upcoming #datascience interview!
nicksingh.com/posts/40-proba…
Perfect if you have an upcoming #datascience interview!
nicksingh.com/posts/40-proba…
#4 - UCSD's FREE curse on Probability & Statistics in Data Science using Python:
I ❤️ this one because it balances rigor with practicality, balances math with code. And it’s free!
edx.org/course/probabi…
I ❤️ this one because it balances rigor with practicality, balances math with code. And it’s free!
edx.org/course/probabi…
#5 - OpenIntro Statistics: free open-source undergrad stats, beloved by #RStats users due to their R code labs that drive home the core concepts of associated chapter.
openintro.org/book/os/
openintro.org/book/os/
Follow me (@NickSinghTech) so you don't miss tomorrow's tweet on the 9 must-know stats concepts for Data Science, Data Analyst, and ML interviews
or....
or....
Cheat and know what these 9 must-know stats topics are in advance by reading Ace the Data Science Interview's statistics chapter:
amzn.to/3kF79Fx
amzn.to/3kF79Fx
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