--- 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: "KSh15845" currency: KES in_stock: true reviews_count: 6 url: https://www.desertcart.co.ke/products/661059666-data-analysis-foundations-with-python-master-python-and-data-analysis store_origin: KE region: Kenya --- # 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:** KSh15845 **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?** KSh15845 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.co.ke](https://www.desertcart.co.ke/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 This Book grants Free Access to our e-learning Platform, which includes: ✅ Free Repository Code with all code blocks used in this book ✅ Access to Free Chapters of all our library of programming published books ✅ Free premium customer support ✅ Much more... Unlock the Full Potential of Data Analysis with Python—All in One Comprehensive Guide! Are you an aspiring data scientist or analyst with a passion for exploring the vast possibilities of Python-based data analysis? If so, you're in luck because "Data Analysis Foundations with Python" is the perfect guide for you. This comprehensive and immersive book will not only provide you with a hands-on approach but also offer a detailed exploration of the fascinating world of Python-based data analysis. Whether you're a beginner or an experienced professional, this book will take you on a journey that will deepen your understanding and expand your skills in the field. From Basics to Mastery: A Structured Learning Journey This book is not just a mere compilation of Python codes and data sets. It goes beyond that, offering a comprehensive course that will guide you from being a Python beginner to becoming a highly skilled Data Analyst. Throughout this book, you will not only acquire essential Python skills, but also gain practical experience in data manipulation techniques and learn about the latest advancements in machine learning. With its well-structured content and engaging learning activities, this book ensures that your journey towards becoming a proficient Data Analyst is both seamless and enjoyable. Three Exceptional Projects and Two In-Depth Case Studies Project 1: Analyzing Customer Reviews : Learn how to extract, clean, and make sense of textual data from online customer reviews. Project 2: Predicting House Prices : Delve into the fascinating world of supervised learning, where you'll get to apply complex machine learning models to predict property prices. Project 3: Building a Recommender System : Uncover the secrets of unsupervised learning as you build and deploy a fully functioning recommender system. Case Studies for Real-world Insight Case Study 1: Sales Data Analysis : Unearth the power of Python to transform raw sales data into actionable insights. Case Study 2: Social Media Sentiment Analysis : Venture into the realm of Natural Language Processing and learn how to analyze public sentiment from social media data. Additional Features Practical Exercises : Each chapter concludes with practical exercises, designed to test your understanding and apply what you’ve learned in real-world scenarios. Best Practices and Tips : The final section of the book is devoted to best practices in the field, including code organization and how to continue learning and growing in your data analysis journey. Who This Book Is For Whether you're a student who is eager to expand your knowledge, a professional who is seeking to embark on a new career path, or an experienced analyst who is looking to enhance your skills and stay ahead in the industry—this comprehensive book is specifically tailored to meet your needs and provide valuable insights and guidance. What Are You Waiting For? Embark on a transformative journey to unlock Python's potential for data analysis. Gain a deep understanding of Python's capabilities and learn how to extract insights from complex datasets using libraries and tools. Develop skills through real-world case studies and hands-on exercises to confidently tackle analytical challenges. 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 | |---------------|-------| | Best Sellers Rank | #1,905,070 in Books ( See Top 100 in Books ) #331 in Data Modeling & Design (Books) #676 in Database Storage & Design #830 in Data Processing | | Customer Reviews | 4.1 out of 5 stars 6 Reviews | ## 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) ## 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.co.ke/products/661059666-data-analysis-foundations-with-python-master-python-and-data-analysis](https://www.desertcart.co.ke/products/661059666-data-analysis-foundations-with-python-master-python-and-data-analysis) --- *Product available on Desertcart Kenya* *Store origin: KE* *Last updated: 2026-05-21*