Learn statistics while having fun: an amusing, clear, and concise overview
The Art of Statistics review – The following is a review of the book The Art of Statistics: Learning from Data (Pelican Books) by David Spiegelhalter (Twitter here). If you pop on Twitter don’t forget to follow us too 😛
The Art of Statistics Review
Data and Statistics are a core subject in many disciplines, Machine Learning in between them. Aside from very technical fields like AI and Data Science, statistics and probability are basic in our everyday life, being fundamental in economics and psychology.
Most people, even some with a technical background don’t have a good grasp or don’t feel very comfortable with statistics and probability, mostly because of the numerical and sometimes anti-intuitive nature of the fields.
It is because of this that we think The Art of Statistics is such a great book: it teaches statistics and probability in a clear, elegant and what is even harder, amusing way. You will end up reading the book like if it was a novel.
This book has all the answers to your statistics and probability questions and you can read it with pleasure, finally understanding a dark art.
With more than 400 pages of pure knowledge, this book aims at increasing the statistical literacy of the general public and it is taught with interesting, real-life, often high-profile examples to be engaging and accessible: anyone can read it and understand it with no problem.
We want to highlight that despite treating subjects like statistical analysis and problem solving, randomised controlled experiments, sampling, regression, statistical significance, or Bayes Theorem, it is clearly written for a broad audience, and plenty of case studies and examples that address how interesting questions can be addressed through statistics and probability.
Also, it contains a glosarry that goes into greater depth on the algebra and maths of statistical analysis. We really recommend this book for readers with little technical background that want to learn what statistics is all about and what we can do with it. Find it on amazon at the best price:
- Hardcover Book
- Spiegelhalter, David (Author)
- English (Publication Language)
- 448 Pages - 03/28/2019 (Publication Date) - Pelican (Publisher)
Other introductory resources on statistics you might like are:
- Medium post with plain concise definitions of the main terms of probability needed to understand this post and many others with some illustrative and easy examples.
- Fun little introduction to probability in Machine Learning and the main with a mysterious but easy example where each of the main terms of probability are introduced.
- Harvard’s Statistics 110 course. This is a larger resource, in case you don’t only want to learn the fundamentals, but dive deeper into the wonderful world of statistics.
- Probability for the enthusiastic beginner: A great book which we have reviewed in our site.
- Bayesian statistics the fun way: another awesome book which we have reviewed, with great, easy examples to teach you all the fundamentals of bayesian statistics.
- Our great section of Statistics and Probability online courses. Check it out!
Thanks a lot for reading How to Learn Machine Learning, please spread the love and follow us on Twitter!
Tags: The Art of Statistics Review, Data Analysis, Probablity and Statistics.