Independently published, 2025. – 111 p. – ISBN: 9798317027308. Colorful One-Pagers to Refresh Your Data Science Knowledge. Say goodbye to passive PowerPoint slides and hello to colorful, hand-drawn examples. 101 Data Science Drawings brings Data Science to life — one marker at a time. This book features over a hundred one-page visual examples, each hand-drawn with colorful...
O’Reilly Media, Inc., 2025. — 350 p. — ISBN-13: 978-1-098-16581-9. Data projects are an intrinsic part of an organization’s technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion,...
Len Bass, Qinghua Lu, Ingo Weber, Liming Zhu. — Addison-Wesley Professional/Pearson Education, 2025. — 320 p. — ISBN-13 978-0-13-826141-2. Transform Your Business with AI: The Ultimate Guide to Engineering AI Systems. Master the Engineering of AI Systems: The Essential Guide for Architects and Developers. In today's rapidly evolving world, integrating artificial intelligence...
PublishDrive, 2024. — 120 p. This is a research-based book, focusing on: "Enhancing Data Interpretation through Visual Storytelling: An Applied Approach Using R and ggplot2". Eman Ahmad's book "Illuminating Data: A Hands-On Guide to Data Visualization in R" provides an exhaustive guide to using the R programming language to do data visualization. Key topics covered include...
Manning Publications, 2025. — 472 p. — ISBN-13: 978-1633437531. Complete eight data science projects that lock in important real-world skills — along with a practical process you can use to learn any new technique quickly and efficiently. Data analysts need to be problem solvers — and The Well-Grounded Data Analyst will teach you how to solve the most common problems you'll...
Packt Publishing, 2024. — 251 p. Key Features: Explore graph data in real-world systems and leverage graph learning for impactful business results. Dive into popular and specialized deep neural architectures like graph convolutional and attention networks. Learn how to build scalable and productionizable graph learning solutions. Book Description: With their combined expertise...
Manning Publications, 2025. — 472 p. — ISBN-13: 978-1633437531. Complete eight data science projects that lock in important real-world skills — along with a practical process you can use to learn any new technique quickly and efficiently. Data analysts need to be problem solvers — and The Well-Grounded Data Analyst will teach you how to solve the most common problems you'll...
2nd Edition. — Manning Publications, 2025. — 688 p. — ISBN: 978-1617299445. Develop your NLP skills from scratch, with an open-source toolbox of Python packages, Transformers, Hugging Face, vector databases, and your Large Language Models. Natural Language Processing in Action, Second Edition has helped thousands of data scientists build machines that understand human language....
Selle Creative, 2023. — 169 p. "Globetrotting with GPT: A Digital Nomad's Guide to Creativity and Productivity" is a must-read for anyone who wants to enhance their productivity, creativity, and personal growth as a digital nomad or remote worker. Susan Selle, a seasoned traveler and educator, shares her insights on how to leverage the power of GPT and AI to maximize your...
Orange Education Pvt Ltd, AVA, 2025. — 460 p. Unlock the Power of AWS Data Engineering and Build Smarter Pipelines for Data-Driven Success. Book Description In today’s data-driven era, mastering AWS data engineering is key to building scalable, secure pipelines that drive innovation and decision-making. Ultimate AWS Data Engineering is your comprehensive guide to mastering the...
3rd Edition. —: Mercury Learning and Information, 2025. — 441 p. – ISBN: 978-1-68392-934-5. In today’s data-driven world, the ability to analyze and interpret data is no longer optional?it’s a necessity for making informed business decisions. This book provides a comprehensive, hands-on guide to mastering the essential techniques and tools that empower business analysts to...
Wiley, 2024. — 207 p. — ISBN-13 978-1394249633. A much-needed guide to implementing new technology in workspaces. From experts in the field comes Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure, a book that provides data scientists and managers with best practices at the intersection of management, large language models (LLMs), Machine...
Mercury Learning and Information, 2025. — 197 p. This book is an essential guide for executives, managers, entrepreneurs, and anyone seeking to harness the power of data to drive business success. In today's fast-paced and increasingly digital world, the ability to make informed decisions based on data-driven insights is vital. It bridges the complex world of Data Science and...
CRC Press, 2025. — 219 p. — ISBN: 9781032816968. Although change is constant in business and analytics, some fundamental principles and lessons learned are truly timeless, extending and surviving beyond the rapid ongoing evolution of tools, techniques, and technologies. Through a series of articles published throughout his 30+ year career in analytics and technology, Doug Gray...
2nd ed. — Manning Publications, 2025. — 718 p. — ISBN: 1617299448. Develop your NLP skills from scratch, with an open-source toolbox of Python packages, Transformers, Hugging Face, vector databases, and your Large Language Models. Natural Language Processing in Action, Second Edition has helped thousands of data scientists build machines that understand human language. In this...
Kogan Page, 2021. — 240 p. — ISBN: 1789668018. In the fast-moving world of the fourth industrial revolution, not everyone needs to be a data scientist but everyone should be data literate, with the ability to read, analyze, and communicate with data. It is not enough for a business to have the best data if those using it don't understand the right questions to ask or how to use...
Kogan Page, 2021. — 232 p. — ISBN: 1398602949. The importance of data analytics is well-known, but how can you get end users to engage with analytics and business intelligence (BI) when the adoption of new technology can be frustratingly slow or may not happen at all? Avoid wasting time on dashboards and reports that no one uses with this practical guide to increasing analytics...
Adams Media, 2013. — 263 p. — ISBN: 1118314042. Transform your marketing efforts through the power of visual content. In today's fast-paced environment, you must communicate your message concisely and engagingly that sets it apart from the noise. Visual content — such as infographics and data visualization — can accomplish this. With DIY functionality, Infographics: The Power...
Packt Publishing, 2024. — 510 p. Key Features: Understand key data science algorithms with Python-based examples. Increase the impact of your data science solutions by learning how to apply existing algorithms. Take your data science solutions to the next level by learning how to create new algorithms. Book Description: Data science combines the power of data with the rigor of...
John Wiley & Sons, 2024. — 576 p. — ISBN: 978-1-394-28948-6. Communicate the data that is powering our changing world with this essential text The advent of machine learning and neural networks in recent years, along with other technologies under the broader umbrella of ‘artificial intelligence,’ has produced an explosion in Data Science research and applications. Data...
Apress Media LLC, 2025. — 231 p. — ISBN-13: 979-8-8688-1069-5. In today’s world, understanding data analytics, data science, and artificial intelligence is not just an advantage but a necessity. This book is your thorough guide to learning these innovative fields, designed to make the learning practical and engaging. The book starts by introducing data analytics, data science,...
2nd Edition. — Chapman and Hall/CRC, 2024. — 328 p. — (Chapman & Hall/CRC Data Science Series). — ISBN: 978-1-032-11654-9. Unlike the first edition, the new edition has been split into two books. Thoroughly revised and updated, this is the first book of the second edition of Introduction to Data Science: Data Wrangling and Visualization with R. It introduces skills that can...