---
product_id: 425834899
title: "Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics"
price: "€ 81.72"
currency: EUR
in_stock: true
reviews_count: 13
url: https://www.desertcart.be/products/425834899-essential-math-for-data-science-take-control-of-your-data
store_origin: BE
region: Belgium
---

# Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

**Price:** € 81.72
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
- **How much does it cost?** € 81.72 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.be](https://www.desertcart.be/products/425834899-essential-math-for-data-science-take-control-of-your-data)

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## Why This Product

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## Description

Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those insights to maximize your career. Learn how to: Use Python code and libraries like SymPy, NumPy, and scikit-learn to explore essential mathematical concepts like calculus, linear algebra, statistics, and machine learning Understand techniques like linear regression, logistic regression, and neural networks in plain English, with minimal mathematical notation and jargon Perform descriptive statistics and hypothesis testing on a dataset to interpret p-values and statistical significance Manipulate vectors and matrices and perform matrix decomposition Integrate and build upon incremental knowledge of calculus, probability, statistics, and linear algebra, and apply it to regression models including neural networks Navigate practically through a data science career and avoid common pitfalls, assumptions, and biases while tuning your skill set to stand out in the job market

Review: From math well hated to completely understood - expensive yes, but don't regret my purchase! - This book breaks down the often-intimidating world of data science into something approachable. The explanations are clear, and the examples are practical, making it perfect for beginners or anyone brushing up on their math skills. It’s a great resource for tackling the math side of data science with confidence
Review: Perfect for Data Science students - Easy to read and extremely informative!

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #64,951 in Books ( See Top 100 in Books ) #4 in Linear Algebra (Books) #29 in Calculus (Books) #40 in Probability & Statistics (Books) |
| Customer Reviews | 4.6 out of 5 stars 366 Reviews |

## Images

![Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics - Image 1](https://m.media-amazon.com/images/I/81RiDmmmEBL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ From math well hated to completely understood - expensive yes, but don't regret my purchase!
*by K***T on March 31, 2025*

This book breaks down the often-intimidating world of data science into something approachable. The explanations are clear, and the examples are practical, making it perfect for beginners or anyone brushing up on their math skills. It’s a great resource for tackling the math side of data science with confidence

### ⭐⭐⭐⭐⭐ Perfect for Data Science students
*by L***A on January 22, 2026*

Easy to read and extremely informative!

### ⭐⭐⭐⭐⭐ Great for those who work with data - or rely on a team that works with data
*by C***R on July 11, 2022*

My team references this book often when explaining why they formed a conclusion from data. It's core to our business and this book outlines so comprehensively the methods of doing it right, identifying bias, and ensuring our conclusions are accurate. This is not a how-to book. It's not even a book on math, really. This is the "why" behind working with data. It is the definitive handbook on data that every data scientist, analyst, business manager should understand before working with data. If you work with data - and just as importantly - if you rely on a team that works with data, this needs to be on your bookshelf.

## Frequently Bought Together

- Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
- Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
- Data Science from Scratch: First Principles with Python

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*Product available on Desertcart Belgium*
*Store origin: BE*
*Last updated: 2026-05-13*