---
product_id: 210550874
title: "Marketing Data Science: Modeling Techniques In Predictive Analytics With R And Python"
brand: "thomas w. miller"
price: "€ 46.57"
currency: EUR
in_stock: true
reviews_count: 13
url: https://www.desertcart.at/products/210550874-marketing-data-science-modeling-techniques-in-predictive-analytics-with-r
store_origin: AT
region: Austria
---

# Marketing Data Science: Modeling Techniques In Predictive Analytics With R And Python

**Brand:** thomas w. miller
**Price:** € 46.57
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Marketing Data Science: Modeling Techniques In Predictive Analytics With R And Python by thomas w. miller
- **How much does it cost?** € 46.57 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.at](https://www.desertcart.at/products/210550874-marketing-data-science-modeling-techniques-in-predictive-analytics-with-r)

## Best For

- thomas w. miller enthusiasts

## Why This Product

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## Description

Marketing Data Science: Modeling Techniques In Predictive Analytics With R And Python

## Images

![Marketing Data Science: Modeling Techniques In Predictive Analytics With R And Python - Image 1](https://m.media-amazon.com/images/I/81D0eCqhijL.jpg)

## Customer Reviews

### ⭐ 







  
  
    I'm extremely disappointed.
  

*by C***N on Reviewed in the United States on February 27, 2018*

The organization of the book is confusing. You can't use the table of contents to decide what to read. After reading the first 4 chapters, I'm extremely disappointed.

### ⭐⭐⭐⭐⭐ 







  
  
    Great value
  

*by S***R on Reviewed in the United States on July 9, 2017*

Very good book, well written, and the best pas, as with all of Miller's books that I have purchased, is that it comes with real code examples in both Python and R. Great way to get up and running.

### ⭐⭐⭐⭐ 







  
  
    wot! no code samples on line?
  

*by B***  on Reviewed in the United States on August 5, 2015*

good book, but....no data sets to work with. Seems critical for a source code heavy book (ie almost every chapter has pages of code). We would prefer not to scan, then try to run the code ourselves. Read the appendix first at that seems to be where the theory is then go back to the chapters for practical work. Borrowed this book from the library....its really expensive otherwiseupdate: OK --kept reading, and paying overdue fines at the library, so I bought the book. Really worth the read if you're serious about focusing on marketing data science. Great starting read for technical marketers who want to do something in this field.Glad the code samples are now available. Will have to test and see. One thing I noticed about the content. Every time something got interesting Prof. Miller would quote a reference for further reading (ie. details). That's sort of OK, but leaves me wanting and having to go dig elsewhere. Suggestion: one more paragraph for such situations would put my curiosity at rest. A lot of content around product development, positioning, recommending, but a little light on broader examples - It might be helpful to describe a broader range of techniques (ie. list them), then drill down on one or two. It just seems too narrow, like drinking from a straw when really a funnel is needed with the huge alternatives. Enjoyed the book (looks like a text book but reads like a novel - that's a good thing)

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*Product available on Desertcart Austria*
*Store origin: AT*
*Last updated: 2026-04-23*