Bayesian Statistics the Fun Way:Understanding Statistics and Probability with Star Wars, Lego, and Rubber Ducks

by: Will Kurt (Author)

Publisher: No Starch Press
Edition:Illustrated

Publication Date: 3 July 2019

Language: English

Print Length: 268 pages

ISBN-10: 1593279566

ISBN-13: 9781593279561

Book Description

Many professionals use statistics and probabilities in their everyday work but struggle to make much sense of what they're doing. Bayesian Statistics the Fun Way gets you understanding the theory behind data analysis without making you slog through a load of dry concepts first - with no programming experience necessary.Fun and unusual examples are used to illustrate otherwise dry statistical concepts. You'll lea about probability with LEGO, statistics through Star Wars, distributions with bomb fuses, estimation through precipitation, and come away with some strong mathematical reasoning skills. You'll start with leaing about priors and calculating simple probabilities and move on to measuring spreads and distributions, modelling data, simulating monte carlo scenarios, handling irrational data; you'll even get a crash course in R basics.This is a super approachable book for people who need to do data science and probability work in their lives, but never got a good grip on the underlying theory.
Many professionals use statistics and probabilities in their everyday work but struggle to make much sense of what they're doing. Bayesian Statistics the Fun Way gets you understanding the theory behind data analysis without making you slog through a load of dry concepts first - with no programming experience necessary.Fun and unusual examples are used to illustrate otherwise dry statistical concepts. You'll lea about probability with LEGO, statistics through Star Wars, distributions with bomb fuses, estimation through precipitation, and come away with some strong mathematical reasoning skills. You'll start with leaing about priors and calculating simple probabilities and move on to measuring spreads and distributions, modelling data, simulating monte carlo scenarios, handling irrational data; you'll even get a crash course in R basics.This is a super approachable book for people who need to do data science and probability work in their lives, but never got a good grip on the underlying theory.