--- product_id: 661059666 title: "Data Analysis Foundations with Python: Master Python and Data Analysis using NumPy, Pandas, Matplotlib, and Seaborn: A Hands-On Guide with Projects ... From Basics to Real-World Applications)" price: "655 kr" currency: DKK in_stock: true reviews_count: 6 url: https://www.desertcart.dk/products/661059666-data-analysis-foundations-with-python-master-python-and-data-analysis store_origin: DK region: Denmark --- # Data Analysis Foundations with Python: Master Python and Data Analysis using NumPy, Pandas, Matplotlib, and Seaborn: A Hands-On Guide with Projects ... From Basics to Real-World Applications) **Price:** 655 kr **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Data Analysis Foundations with Python: Master Python and Data Analysis using NumPy, Pandas, Matplotlib, and Seaborn: A Hands-On Guide with Projects ... From Basics to Real-World Applications) - **How much does it cost?** 655 kr with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.dk](https://www.desertcart.dk/products/661059666-data-analysis-foundations-with-python-master-python-and-data-analysis) ## 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 Data Analysis Foundations with Python: Master Python and Data Analysis using NumPy, Pandas, Matplotlib, and Seaborn: A Hands-On Guide with Projects ... From Basics to Real-World Applications): 9798894969169: Computer Science Books @ desertcart.com Review: Good Instruction - Data Analysis Foundations with Python gives a good idea of the basics. It’s structured in a way that feels logical and goal-oriented without being dry. The more conversational tone was well done. Review: A few good nuggets - My awarding 3 stars to this book is generous, but I found a few nuggets I will explore going forward; mainly in the machine learning aspects of chapter 11, chapter 13 to get me started. There are elements I like. For example: 1) “scratching the surface” in chapter 3.2.6, 3.2.7, 3.3.6, and other sections; 2) noting the scope of import tools and how they interact with each other; 3) example blocks with code and embedded comments; 4) end of chapter: short quiz, with answers AND exercises are generally helpful; 5) generally, I like conclusions at the end of chapters; Overall, I find this text’s conversational style not very useful for a technical book – distracting at best. I find hierarchical teaching for the one-way interaction of book-to-reader, does not work well. In my view, this book has tons of fluff (non-value-added words) and redundancy everywhere. The redundancy is a big-time killer and influences the reader to skip over much text. Also, because the flowery adjectives are used all over, they lose their already vague meaning and thus not helpful in objective learning. Here are some of the overused adjectives: powerful, versatile, deep dive, highly optimized, and many more. I feel like I am constantly being marketed to. I think the 400+ page book could be reduced to 100+ pages and keep the intent of giving the reader insight to the data analysis foundations of Python with focus on the elements of machine learning. I offer the following texts for data analysis that I think are helpful for an analysis teaching style; realizing these books target a different analysis focus: Numerical Python in Astronomy and Astrophysics, Wolfram Schmidt, Marcel Volschow, 2021 ed. An Introduction to Python Programming for scientist and Engineers, Johnny WeiBing Lin, et.a., 2022 ed. ## Technical Specifications | Specification | Value | |---------------|-------| | ASIN | B0DFQ98GGY | | Best Sellers Rank | #1,894,085 in Books ( See Top 100 in Books ) #569 in Data Modeling & Design (Books) #677 in Database Storage & Design #873 in Data Processing | | Book 3 of 3 | Ultimate Python Mastery Bundle: From Basics to Real-World Applications | | Customer Reviews | 4.1 4.1 out of 5 stars (6) | | Dimensions | 7.5 x 1.07 x 9.25 inches | | ISBN-13 | 979-8894969169 | | Item Weight | 2.21 pounds | | Language | English | | Print length | 472 pages | | Publication date | August 29, 2024 | | Publisher | Staten House | ## Images ![Data Analysis Foundations with Python: Master Python and Data Analysis using NumPy, Pandas, Matplotlib, and Seaborn: A Hands-On Guide with Projects ... From Basics to Real-World Applications) - Image 1](https://m.media-amazon.com/images/I/71V+guNW25L.jpg) ![Data Analysis Foundations with Python: Master Python and Data Analysis using NumPy, Pandas, Matplotlib, and Seaborn: A Hands-On Guide with Projects ... From Basics to Real-World Applications) - Image 2](https://m.media-amazon.com/images/I/51S1vmYMk1L.jpg) ## Customer Reviews ### ⭐⭐⭐⭐ Good Instruction *by H***A on October 21, 2025* Data Analysis Foundations with Python gives a good idea of the basics. It’s structured in a way that feels logical and goal-oriented without being dry. The more conversational tone was well done. ### ⭐⭐⭐ A few good nuggets *by J***E on January 28, 2025* My awarding 3 stars to this book is generous, but I found a few nuggets I will explore going forward; mainly in the machine learning aspects of chapter 11, chapter 13 to get me started. There are elements I like. For example: 1) “scratching the surface” in chapter 3.2.6, 3.2.7, 3.3.6, and other sections; 2) noting the scope of import tools and how they interact with each other; 3) example blocks with code and embedded comments; 4) end of chapter: short quiz, with answers AND exercises are generally helpful; 5) generally, I like conclusions at the end of chapters; Overall, I find this text’s conversational style not very useful for a technical book – distracting at best. I find hierarchical teaching for the one-way interaction of book-to-reader, does not work well. In my view, this book has tons of fluff (non-value-added words) and redundancy everywhere. The redundancy is a big-time killer and influences the reader to skip over much text. Also, because the flowery adjectives are used all over, they lose their already vague meaning and thus not helpful in objective learning. Here are some of the overused adjectives: powerful, versatile, deep dive, highly optimized, and many more. I feel like I am constantly being marketed to. I think the 400+ page book could be reduced to 100+ pages and keep the intent of giving the reader insight to the data analysis foundations of Python with focus on the elements of machine learning. I offer the following texts for data analysis that I think are helpful for an analysis teaching style; realizing these books target a different analysis focus: Numerical Python in Astronomy and Astrophysics, Wolfram Schmidt, Marcel Volschow, 2021 ed. An Introduction to Python Programming for scientist and Engineers, Johnny WeiBing Lin, et.a., 2022 ed. ### ⭐⭐⭐⭐ Enjoyable & impactful *by A***Z on March 9, 2025* "Data Analysis Foundations with Python" is an excellent resource for aspiring data scientists. With clear, structured content, practical projects, and real-world case studies, it offers hands-on experience in Python, data manipulation, and machine learning, making learning enjoyable and impactful. --- ## 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.dk/products/661059666-data-analysis-foundations-with-python-master-python-and-data-analysis](https://www.desertcart.dk/products/661059666-data-analysis-foundations-with-python-master-python-and-data-analysis) --- *Product available on Desertcart Denmark* *Store origin: DK* *Last updated: 2026-05-09*