π« Looking to learn the basics of statistics with a non-technical introduction? π« Want to be more informed about statistics generally speaking? π« Need a refresher in statistics ?

This is the book for you then!

Here’s just a handful of topics you’ll find throughout the book:

– why we need statistics

– the PPDAC structure

– counts & proportions

– distributions & continuous variables

– standard deviation

– relationships between variables

– Pearson correlation coefficient

– storytelling with statistics

– inductive inference

– Z-score

– population distribution

– correlation does not imply causation

– Simpson’s paradox

– regression coefficient

– basic regression modeling

– classification and prediction

– assessing performance of an algorithm

– Brier score

– bias/variance trade-off

– cross-validation

– bootstrapping

– probability, uncertainty, variability

– central limit theorem

– confidence interval

– hypothesis testing

– statistical significance

– P-values

– Bayes’ theorem

– hierarchical modeling

… you get the point right?

This is a GOLDMINE of statistical concepts. I have read this book once, just finished the first round-through this week, but I am entering back through in further detail a second time and examining the examples the author walks through.

There are not books on statistics like this one. It is absolutely one of my go-to books on statistics at the moment.

Check out what others may have said about this subject onΒ Linkedin.

And π Check out my Medium Recommendation for this book, theπ‘ 3 Reasons why you should read the book & sharing with you π why I read the book.