--- product_id: 348555781 title: "Data Analysis with Open Source Tools" price: "SAR 311" currency: SAR in_stock: true reviews_count: 5 url: https://www.desertcart.com.sa/products/348555781-data-analysis-with-open-source-tools store_origin: SA region: Saudi Arabia --- # Data Analysis with Open Source Tools **Price:** SAR 311 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Data Analysis with Open Source Tools - **How much does it cost?** SAR 311 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.com.sa](https://www.desertcart.com.sa/products/348555781-data-analysis-with-open-source-tools) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description Buy Data Analysis with Open Source Tools by Janert, Philipp K online on desertcart.ae at best prices. ✓ Fast and free shipping ✓ free returns ✓ cash on delivery available on eligible purchase. Review: The book provides very good math and stats foundation without diving into the code. I liked the methodology behind the way the book is structured. Review: I have to agree with a lot of the US reviews. I am missing a focus in the book. The author wants to make a point how important it is to understand the math behind real world problems, but I was disappointed by his attempts to convey mathematical principles. Formulas may work for some people, to me the book failed to point out why they are necessary - or how i can add value with them in the analyses i do. In this regards, the author overpays his dues to his academic background. I can see how the author studied physics and addresses people with like-wise framed minds. But for these people, the book will be too trivial. The major disappointment for me was that the book failed to live up to its expectations regarding the subtitle "with open Source tools". I would have expected a range of cool tools to work with, instead it's GNU and R, and there is not a single end-to-end case of getting the data, figuring out the issue and then presenting it in a graph. Sometimes, the style is too conversational, sometimes it is too strict and abstract. There are few moments when the two extremes touch. Other parts of the book - were the author shares his academic insights - felt awkward. The statement "You will never understand what mathematics is if you see it only as something you use to obtan certain results" will definitely find its way in my "Dictionary of Received Ideas". Still after all this negative criticism, I am giving it an average 4 stars. Why? There were some conversational parts that are helpful. This happens especially when the author highlights pitfalls and real-world application on distribution laws and showing/interpreting graphical analysis (although he doesn't point out how it's done). I can put these ideas to use, and they are valuable, because they show the true expertise of the author and can serve as a guideline for people learning to get familiar with advanced statistical analysis. And I want to give credit to the broad scope of the book. I prefer this to textbooks that focus on one aspect only. Although the book is often too abstract, I appreciate the approach to cover many topics in 10-20 page essays. ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #397,006 in Books ( See Top 100 in Books ) #687 in Web Programming #871 in Databases & Big Data #1,185 in Computer Programming Languages | | Customer reviews | 4.2 4.2 out of 5 stars (48) | | Dimensions | 17.78 x 3.56 x 23.34 cm | | Edition | Illustrated | | ISBN-10 | 0596802358 | | ISBN-13 | 978-0596802356 | | Item weight | 210 g | | Language | English | | Print length | 530 pages | | Publication date | 28 December 2010 | | Publisher | O'Reilly Media | ## Images ![Data Analysis with Open Source Tools - Image 1](https://m.media-amazon.com/images/I/91DqXd9okHL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Review *by B***K on 28 July 2018* The book provides very good math and stats foundation without diving into the code. I liked the methodology behind the way the book is structured. ### ⭐⭐⭐⭐ Review *by T***M on 17 January 2012* I have to agree with a lot of the US reviews. I am missing a focus in the book. The author wants to make a point how important it is to understand the math behind real world problems, but I was disappointed by his attempts to convey mathematical principles. Formulas may work for some people, to me the book failed to point out why they are necessary - or how i can add value with them in the analyses i do. In this regards, the author overpays his dues to his academic background. I can see how the author studied physics and addresses people with like-wise framed minds. But for these people, the book will be too trivial. The major disappointment for me was that the book failed to live up to its expectations regarding the subtitle "with open Source tools". I would have expected a range of cool tools to work with, instead it's GNU and R, and there is not a single end-to-end case of getting the data, figuring out the issue and then presenting it in a graph. Sometimes, the style is too conversational, sometimes it is too strict and abstract. There are few moments when the two extremes touch. Other parts of the book - were the author shares his academic insights - felt awkward. The statement "You will never understand what mathematics is if you see it only as something you use to obtan certain results" will definitely find its way in my "Dictionary of Received Ideas". Still after all this negative criticism, I am giving it an average 4 stars. Why? There were some conversational parts that are helpful. This happens especially when the author highlights pitfalls and real-world application on distribution laws and showing/interpreting graphical analysis (although he doesn't point out how it's done). I can put these ideas to use, and they are valuable, because they show the true expertise of the author and can serve as a guideline for people learning to get familiar with advanced statistical analysis. And I want to give credit to the broad scope of the book. I prefer this to textbooks that focus on one aspect only. Although the book is often too abstract, I appreciate the approach to cover many topics in 10-20 page essays. ### ⭐⭐⭐⭐⭐ Review *by F***S on 23 May 2013* Every person involved in any computational science should have read this book and always keep it at arm's reach. ## Frequently Bought Together - Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists - Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.com.sa/products/348555781-data-analysis-with-open-source-tools](https://www.desertcart.com.sa/products/348555781-data-analysis-with-open-source-tools) --- *Product available on Desertcart Saudi Arabia* *Store origin: SA* *Last updated: 2026-05-06*