HomeData science books
Data science books
(44 products found)
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Unlock the world of data science with our curated selection of essential books. Whether you're a beginner or an experienced professional, these titles offer valuable insights and practical knowledge to enhance your skills. Explore the latest methodologies, tools, and case studies to stay ahead in this rapidly evolving field. Discover your next read today!
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Python for Data Science For Dummies
₦ 44,200
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Data Preparation and Analysis: An easy approach to master data science
₦ 59,980
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Data Engineering Fundamentals: Building scalable data solutions with ETL pipelines and strategic data architecture design
₦ 59,980
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Data Mining & Data Warehousing
3 (1)
₦ 44,678
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Data Cleaning and Exploration with Machine Learning: A practical guide to machine learning and data exploration with Python and Scikit-learn
₦ 69,980
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Statistics for Data Scientists and Analysts: Statistical approach to data-driven decision making using Python
₦ 59,980
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Data Engineering for AI: Enhance data persistence strategies for optimal AI and analytical workload performance
₦ 59,980
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Data Mining and Business Intelligence: Data-driven strategy for business transformation
₦ 54,980
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Data Engineering Best Practices: Architecture tools and techniques for the data analytics lifecycle
₦ 59,980
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Python for Data Science For Dummies
₦ 43,500
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Python for Data Science For Dummies
₦ 42,100
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Python for Data Science For Dummies
₦ 40,300
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Modern Data Architecture in AI: Optimize AI data storage, versioning, and partitioning with lakehouse
₦ 59,980
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Designing data-intensive application
₦ 69,500
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Understanding Compression: Data Compression for Modern Developers
₦ 39,980
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Comprehensive Data Structures and Algorithms in C sharp: Learn fundamentals with 500+ code samples and problems
₦ 59,980
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Neufert Architects' Data, Fourth Edition 4th Edition
₦ 19,550
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Neufert Architects' Data, Fourth Edition 4th Edition
₦ 14,000
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Neufert Architects' Data, Fourth Edition 4th Edition
₦ 18,000
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Neufert Architects' Data, Fourth Edition 4th Edition
₦ 19,000
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Neufert Architects' Data, Fourth Edition 4th Edition
₦ 25,000
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Heat and Mass Transfer Data Book
₦ 39,980
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Data Communications and Computer Networks: A Business User's Approach
₦ 44,980
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Distributed Data Warehousing Using Web Technology
₦ 39,980
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Java Crash Course: Implementing core Java features, including data types, operators, and flow control mechanisms
₦ 59,980
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Neufert Architects' Data Fifth Edition
2.5 (2)
₦ 50,000
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Designing data-intensive applications
5 (2)
₦ 53,000
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Practical Deep Learning with PyTorch: PyTorch implementation for computer vision, NLP, audio, and language translation
₦ 54,980
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Designing data-intensive applications
1 (1)
₦ 55,000
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Excel Crash Course: PivotTables, Power Query, charts, essential functions with Python and Copilot for modern AI analysis
₦ 64,980
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Data Structures & Algorithms Using C
₦ 45,500
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Math Destruction Book by Cathy O'Neil
₦ 12,500
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MCQ in IoT (for Advanced Level): Prepare for success with IoT multiple choice questions
₦ 59,980
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Business Analytics: Data Analysis & Decision Making
₦ 64,980
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Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines
₦ 45,000
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Applied Statistics: A First Course in Inference
₦ 34,980
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The Modern Developer’s Power Pack: Code, Data & AI
₦ 120,000
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Database Systems: Design, Implementation, & Management
₦ 49,890
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
₦ 45,000
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Practical MATLAB and Python: A comparative approach to problem-solving to code like a pro
₦ 59,980
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Frequently Asked Questions About data science books
How do I choose the right data science book from this listing?
Begin by matching your goal, experience level, and preferred format to the book’s depth and focus. If you’re new to data science, start with beginner-friendly titles like Python for Data Science For Dummies to learn Python-based workflows, while more advanced readers can explore Data Mining & Data Warehousing for applied techniques or Distributed Data Warehousing Using Web Technology for architecture-level topics. Consider whether you want a practical, code-heavy guide or a theory-rich reference, and choose a brand you trust—jumia-books offers multiple data science options across science and technology categories. Finally, check the language and examples to ensure they align with real-world projects you want to tackle.
What is the most complex attribute when choosing data science books, and how should I evaluate it?
The depth and the prerequisites are the most complex attribute, and they determine whether the book fits your background. Examine the preface, table of contents, and sample chapters to see if it assumes statistics, linear algebra, or Python programming, and whether it includes hands-on exercises or theory. Compare beginner-friendly titles like Python for Data Science For Dummies with more specialized works such as Data Mining & Data Warehousing to gauge the level of detail you’ll get. Look for clear learning objectives, accompanying code, and real-world projects that match your ambitions.
How would a beginner student differ from a pro data scientist when using these data science books?
Beginner students should choose approachable, hands-on guides to build practical skills quickly. Pro data scientists benefit from deep dives into topics like data warehousing or advanced data processing, such as Data Mining & Data Warehousing or Distributed Data Warehousing Using Web Technology. In both cases, rely on a trusted brand like jumia-books, and pick titles that align with your current projects and the tools you’ll actually use.
What maintenance and compatibility tips should I follow for data science books?
Choose a format that fits your devices and reading habits, whether a physical copy for note-taking or an eBook for quick search. Ensure you pick the appropriate edition or updated content and confirm availability from jumia-books, as updates can affect code examples and libraries. Keep a personal reading note, practice with the included exercises, and cross-check online resources for the latest workflows used in data science.
Which brands or series should I trust when buying data science books from jumia-books, and how do I decide?
Trust established series and publishers that focus on practical data science topics, such as For Dummies for beginners and specialist titles in data mining or data warehousing. The jumia-books catalog offers both Python-focused and architecture-oriented data science titles, so choose a series that matches your learning style and project goals. Look for clear code examples and real-world applications to ensure the book will be useful now and as your skills grow.