Does this book require prior statistics knowledge?

Some exposure to statistics is recommended, but the book provides explanations from a data science perspective.

Is this book focused on a specific language?

The book is focused on applying statistical methods with a data science perspective, and uses the R programming language as an example.

What topics does this book cover?

The book covers a range of essential statistical methods for data science, such as exploratory data analysis, random sampling, experimental design, regression, classification, and unsupervised learning methods.

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Practical Statistics for Data Scientists: 50 Essential Concepts 1st Edition

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Practical Statistics for Data Scientists: 50 Essential Concepts 1st Edition provides essential statistical methods for data science

Product Details

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Paperback
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Features & Benefits

Explains how to apply various statistical methods to data science
Advice on what's important and what's not
Quick reference book, accessible and readable
Methods for exploratory data analysis
Teaches the principles of experimental design
Covers regression for estimating outcomes and detecting anomalies

Product Description

Practical Statistics for Data Scientists: 50 Essential Concepts 1st Edition

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Customer Questions & Answers

Question : Does this book require prior statistics knowledge?
Answer : Some exposure to statistics is recommended, but the book provides explanations from a data science perspective.
Question : Is this book focused on a specific language?
Answer : The book is focused on applying statistical methods with a data science perspective, and uses the R programming language as an example.
Question : What topics does this book cover?
Answer : The book covers a range of essential statistical methods for data science, such as exploratory data analysis, random sampling, experimental design, regression, classification, and unsupervised learning methods.

Customer Ratings

4.7 out of 5

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Practical Statistics for Data Scientists: 50 Essential Concepts 1st Edition

"Practical Statistics for Data Scientists: 50 Essential Concepts" is a book that has received mixed reviews from customers. Some readers find it lacking in depth as it only offers a brief introduction to various topics. However, others have found it to be a great read packed with useful statistics and programming knowledge. The book includes helpful R and Python programs and notebooks that can be easily accessed on Github. The concise nature of the book makes it an excellent resource for those who need a quick stats refresher.

Pros

Includes great R and Python programs and notebooks that are easy to understand
Provides a quick refresher of stats knowledge
Relevant for those working in the data/business analyst world

Cons

Some feel the book only scratches the surface of each concept
Not ideal for those seeking detailed math coverage

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Practical Statistics for Data Scientists: 50 Essential Concepts 1st Edition

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