---
product_id: 27078656
title: "Exploring Data in Engineering, the Sciences, and Medicine"
price: "€ 223.20"
currency: EUR
in_stock: true
reviews_count: 4
url: https://www.desertcart.ie/products/27078656-exploring-data-in-engineering-the-sciences-and-medicine
store_origin: IE
region: Ireland
---

# Exploring Data in Engineering, the Sciences, and Medicine

**Price:** € 223.20
**Availability:** ✅ In Stock

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- **What is this?** Exploring Data in Engineering, the Sciences, and Medicine
- **How much does it cost?** € 223.20 with free shipping
- **Is it available?** Yes, in stock and ready to ship
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## Description

desertcart.com: Exploring Data in Engineering, the Sciences, and Medicine: 9780195089653: Pearson, Ronald: Books

Review: Excellent engineering oriented introduction to statistics - This is a wonderful extended discussion of the intersection of traditional statistics with "big data". There's a lot of math and the mathematical development, as well as the choice of topics, is informed by the issues raised in data exploration, and therefore well motivated for readers like myself who are more engineering focused. The author is a bit obsessed with outliers and datasets that are corrupted in one way or another and analyzes several different kinds of examples throughout the book. Such an obsession is appropriate for a book about exploring data, and also for the context in which people are analyzing datasets created by others, so that the analysts aren't familiar with the measurement conditions, post-measurement processing, unstated assumptions, and so on. I found this book to be an efficient way to get a deeper understanding of statistics as it applies to practical data analysis. What I'm looking for now is a book teaches the relationships between the techniques of machine learning and traditional statistics.
Review: A classic but without R - This is definitely a classic and a reference book to have. However, it is not integrated into any programming language such as R. So it is a textbook in then best tradition.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #6,321,999 in Books ( See Top 100 in Books ) #5,797 in Statistics (Books) #7,633 in Probability & Statistics (Books) |
| Customer Reviews | 4.4 4.4 out of 5 stars (7) |
| Dimensions  | 9.3 x 6.4 x 1.7 inches |
| Edition  | 1st |
| ISBN-10  | 0195089650 |
| ISBN-13  | 978-0195089653 |
| Item Weight  | 3.05 pounds |
| Language  | English |
| Print length  | 770 pages |
| Publication date  | January 21, 2011 |
| Publisher  | Oxford University Press |

## Images

![Exploring Data in Engineering, the Sciences, and Medicine - Image 1](https://m.media-amazon.com/images/I/51EAwp-cOEL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Excellent engineering oriented introduction to statistics
*by C***A on September 8, 2014*

This is a wonderful extended discussion of the intersection of traditional statistics with "big data". There's a lot of math and the mathematical development, as well as the choice of topics, is informed by the issues raised in data exploration, and therefore well motivated for readers like myself who are more engineering focused. The author is a bit obsessed with outliers and datasets that are corrupted in one way or another and analyzes several different kinds of examples throughout the book. Such an obsession is appropriate for a book about exploring data, and also for the context in which people are analyzing datasets created by others, so that the analysts aren't familiar with the measurement conditions, post-measurement processing, unstated assumptions, and so on. I found this book to be an efficient way to get a deeper understanding of statistics as it applies to practical data analysis. What I'm looking for now is a book teaches the relationships between the techniques of machine learning and traditional statistics.

### ⭐⭐⭐ A classic but without R
*by D***R on August 19, 2014*

This is definitely a classic and a reference book to have. However, it is not integrated into any programming language such as R. So it is a textbook in then best tradition.

### ⭐⭐⭐⭐⭐ In terms of clarity, breadth, and accuracy, ...
*by J***E on July 16, 2014*

In terms of clarity, breadth, and accuracy, I found this book to be way above the standards in its class. It is outstanding as a reference book and as a potential textbook.

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*Product available on Desertcart Ireland*
*Store origin: IE*
*Last updated: 2026-03-18*