---
product_id: 184711450
title: "Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python"
price: "€ 105.54"
currency: EUR
in_stock: true
reviews_count: 13
url: https://www.desertcart.es/products/184711450-practical-statistics-for-data-scientists-50-essential-concepts-using-r
store_origin: ES
region: Spain
---

# Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

**Price:** € 105.54
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
- **How much does it cost?** € 105.54 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.es](https://www.desertcart.es/products/184711450-practical-statistics-for-data-scientists-50-essential-concepts-using-r)

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## Description

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that "learn" from data Unsupervised learning methods for extracting meaning from unlabeled data

Review: Had issues with physical copy but great response from O'Reilly - I had purchased a new physical copy of the book, and realized there were several pages that were blank and missing. I contacted O'Reilly about the problem and they were extremely quick with a resolution! They were able to give me a different copy so I could read it without the missing pages. The content of the book itself is good, except in all black and white, which doesn't bother me personally but may bother someone else when it comes to the graphs. I think the R and Python content are both great, and it keeps the code concise and quick to the point. Great for R beginners, but for python users I would recommend a little more experience. As for the math parts, its great for those who are new to statistics and gives easy to read explanations, and a great refresher for those who just want to review some of the concepts. I especially like the sections provided for further reading, which have been helpful.
Review: Great book - Really a great book for stat. I am really glad I purchased this book. Easy explanation and great examples.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #44,861 in Books ( See Top 100 in Books ) #5 in Mathematical & Statistical Software #6 in Data Mining (Books) #9 in Data Processing |
| Customer Reviews | 4.6 out of 5 stars 976 Reviews |

## Images

![Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python - Image 1](https://m.media-amazon.com/images/I/81Sdk02bg+L.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Had issues with physical copy but great response from O'Reilly
*by J***N on March 8, 2022*

I had purchased a new physical copy of the book, and realized there were several pages that were blank and missing. I contacted O'Reilly about the problem and they were extremely quick with a resolution! They were able to give me a different copy so I could read it without the missing pages. The content of the book itself is good, except in all black and white, which doesn't bother me personally but may bother someone else when it comes to the graphs. I think the R and Python content are both great, and it keeps the code concise and quick to the point. Great for R beginners, but for python users I would recommend a little more experience. As for the math parts, its great for those who are new to statistics and gives easy to read explanations, and a great refresher for those who just want to review some of the concepts. I especially like the sections provided for further reading, which have been helpful.

### ⭐⭐⭐⭐⭐ Great book
*by A***R on June 26, 2024*

Really a great book for stat. I am really glad I purchased this book. Easy explanation and great examples.

### ⭐⭐⭐⭐⭐ Seriously Great Book
*by M***R on June 10, 2021*

I've taken many stats classes, most of them using R, at the undergraduate and graduate level, and I really wish I found this book before I did. I picked this book up as a refresher, and not only did it succinctly describe all and a bit more of what I learned in those courses, but it has excellent "further readings," great clarifying synonym lists when it defines "key terms," and is very readable. Literally blown away.

## Frequently Bought Together

- Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
- Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
- Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

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*Product available on Desertcart Spain*
*Store origin: ES*
*Last updated: 2026-05-22*