Books

This book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this book will lay the foundation for you to begin your journey learning data science. Printed copies of this book are available through Lulu.

The deepest tutorial and explanation about EventStorming, straight from the inventor.

#1 Best Seller in Management Science (Amazon International, France, Germany, Netherlands, Poland, Sweden – Feb 2026) and in other categories. Available worldwide on Amazon (Hardcover, Paperback, Kindle) and across all major digital platforms, including Leanpub, Apple Books, and Google Play. Learn how to drive your organizational performance with people and AI to 10X and beyond — in impact and relevance.

You don't need a massive budget or a team of consultants to build a security program that actually works. Building an Agile Security Program gives startup founders and CTOs a step-by-step, NIST-aligned playbook with 300+ prioritized tasks, runnable automation code, and the practitioner voice of someone who's done it a hundred times.

This book describes the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and this book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science. Printed copies are available through Lulu.

A book for Tech Leads, from Tech Leads. Discover how more than 35 Tech Leads find the delicate balance between the technical and non-technical worlds. Discover the challenges a Tech Lead faces and how to overcome them. You may be surprised by the lessons they have to share.

First Principles in Scrum: The Definitive Guide to Agile Mastery First Principles in Scrum explores the deep foundations of Scrum and Agile, authored by Jeff Sutherland—Co-Creator of Scrum and a signatory of the Agile Manifesto. With a new chapter added every sprint, it now is the largest Agile resource ever compiled. Drawing on his background as a senior research scientist trained in radiation physics, Sutherland explains how principles from physics, biology, and neuroscience shape Scrum’s effectiveness. He also delves into the future of Agile, demonstrating how AI, when integrated with Scrum@Scale, can drive exponential productivity—projected to make teams 30-100 times more productive by 2030 . Whether you’re a CEO, manager, or practitioner, this series is essential reading. It’s a roadmap to mastering agility in a rapidly changing world, offering insights into how the iterative cycles of Agile mirror the adaptability of complex systems while embracing AI as a transformative force.

Impact mapping helps to create better plans and roadmaps that ensure alignment of business and delivery, and help organisations make an impact with their software.

Practical guidance for teams, organisations and networks to manage without hierarchy.

Your organization trained people to solve problems. The problems aren't surfacing -- because people don't feel safe raising them. This book connects psychological safety directly to continuous improvement, showing leaders what to change this week so that Lean tools actually work.

Whether you thought that estimates were natural or you felt uncomfortable, whether you think you are a good estimator or if you think you are always wrong - you need to understand the why and the how of estimations. This book brilliantly unpacks the illusion of control, the skewed risk proposition and why we should abandon estimations in favour of modern business practices like feedback, embracing the unknown and being truly collaborative. Here is my case against estimates. (and some alternative ideas)

This book teaches you to use R to effectively visualize and explore complex datasets. Exploratory data analysis is a key part of the data science process because it allows you to sharpen your question and refine your modeling strategies. This book is based on the industry-leading Johns Hopkins Data Science Specialization.

This book teaches the fundamental concepts and tools behind reporting modern data analyses in a reproducible manner. As data analyses become increasingly complex, the need for clear and reproducible report writing is greater than ever. The material for this book was developed as part of the industry-leading Johns Hopkins Data Science Specialization. Printed versions are available through Lulu (see link below).