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Bloomsbury presents… xGenius: Expected Goals and the Science of Winning Football Matches by James Tippett read by Simon Darwen 'Eye-opening. An essential read for any football fan' – Jamie Carragher A new, expanded and super-charged guide to Expected Goals (xG) analysis from the bestselling...

Mastering OSINT and Dark Web Investigations: by Eric Waldrep is an advanced guide for professionals navigating the complex worlds of Open Source Intelligence (OSINT) and the Dark Web. The book equips investigators with technical skills, methodologies, and ethical frameworks to handle cases ranging from corporate fraud to national security threats.

Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data—to understand where the numbers come from, make sense of them, and use them to inform tough decisions. How do you get started? Whether you're working with data experts or running your own tests, you'll find answers in the HBR Guide to Data Analytics Basics for Managers. This book describes three key steps in the data analysis process, so you can get the information you need, study the data, and communicate your findings to others.

Unlock predictable bottom line growth through tailored data and AI strategies. In The Data & AI Imperative: Designing Strategies for Exponential Growth, celebrated data-driven growth leader, Lillian Pierson, delivers a masterclass in developing custom strategies to harness the full potential of...

SQL Essentials for Dummies is your quick reference to all the core concepts of SQL—a valuable common standard language used in relational databases. This useful guide is straightforward—with no excess review, wordy explanations, or fluff—so you get what you need, fast. Great for a brush-up on the basics or as an everyday desk reference, this book is one you can rely on.

The Inclusion Equation is a comprehensive, one-of-a-kind guide to merging DEI and employee wellbeing concepts with data analytics and AI. In this book, renowned thought leader and professional keynote speaker Dr. Serena H. Huang explains exactly how to quantify the effectiveness of new talent...

Microsoft Power Platform for Dummies covers the essentials you need to know to get started with Microsoft Power Platform, the suite of business intelligence applications designed to make your enterprise work smarter and more efficiently.

What has data ever done for us? Georgina Sturge, House of Commons Library statistician and author of the critically acclaimed Bad Data, explores the rich history of the times the UK has counted itself - from the revolutionary first census of 1801 to modern worries over technological surveillance...

Random Acts of Automation dives deep into the hidden consequences of our rapid automation, examining the forces that will reshape the current workforce. This book focuses on real people—fast-food workers, warehouse staff, customer service agents, even lawyers and tech professionals—all facing the impact of automation. In its chapters, you will find practical solutions to your workplace concerns about AI. This isn't just about understanding your current job; it's about seeing where automation will take you and how you can thrive.

This book will open your eyes to the pitfalls of perception, and help you build a foundation for trust that elevates organizational performance... so you can make your data and AI initiatives succeed where others fail. Data, Strategy, Culture & Power is a must-listen for anyone who works with (or uses) data, analytics, and AI in today's complex organizations.

Artificial intelligence is transforming lives and revolutionizing industries. This accessible guide to generative AI and machine learning is for tech enthusiasts and forward-thinkers alike—whether you're in IT or a professional from another field looking to stay ahead and curious about AI’s impact on the future, this book provides the essential insights you need to stay competitive and informed in the Age of AI.

Data science is an exciting field and will remain as such for many years to come. With more people than ever studying data science, machine learning & AI, there is an increasing gap between what you learn in the classroom and how data science is done in the real world. Inspired by conversations with nearly 10,000 social media followers, this book aims to close that gap and address some of the common tasks that you will face in your first year as a data scientist.

The Complete Guide to Cloud Storage Architecture: Buckets, Permissions, and Data Access Layers The Complete Guide to Cloud Storage Architecture is a comprehensive resource designed for developers, architects, engineers, students, and IT professionals seeking a clear and practical understanding of modern cloud storage systems. This audiobook offers a structured walkthrough of every layer of cloud data storage, demystifying how today’s platforms store, organize, secure, and scale data.

Maximize your portfolio, analyze markets, and make data-driven investment decisions using Python and generative AI. Investing for Programmers shows you how you can turn your existing skills as a programmer into a knack for making sharper investment choices.

This book is for people who are serious about how they can improve how their organizations run and how they can make their next large transformation project a success. It is for the process and architecture practitioners who run their programs for years and don’t get the visibility that they deserve. It is for the analysts who want to switch their practices to a data-driven approach (while not forgetting the human contributions in the analysis) and for whom the words “Digital Gemba” sound good.

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, and clearly explains how to apply the best practices from software engineering to data science.

Launch your ERP the right way. The concept of an ERP system—where all of your company’s software talks with each other—is pretty amazing. But sometimes, launching one into your ecosystem can be treacherous. And why wouldn’t it be? You only update your ERP once every ten to fifteen years, so there’s often nobody at your organization that’s been through one, much less two, who could show you the way. Mistakes are bound to happen, but the benefits are manifold. How do you cross that chasm? First, you get the experience you need, and in this case it’s through Evan Schwartz.

Cómo tomar decisiones estratégicas a partir de la analítica de datos. "¿Cuál es la función de los datos, entonces, y de su análisis profundo y racional antes de tomar una decisión en una empresa o en una organización?... ¿Quiénes toman las decisiones en una empresa? ¿Qué decisiones...

Drawing on years of work interpreting and explaining data about almost anything, renowned data journalist Kiko Llaneras offers practical tools and shortcuts to help you understand the numbers and make better decisions using a quantitative lens. Through a series of compelling examples, he reveals some of the surprising insights that a data-driven perspective can offer.

Transform your career in just a few hours with Python data science mastery—even if you've never written a line of code before! Have you ever felt overwhelmed at the thought of learning data analysis in Python? Do you worry that without a computer science degree, you'll never be able to visualize and analyze data effectively? Are you eager to bring data-driven insights into your career but don’t know where to start?