Títulos em Ciência de Dados

Neste livro que já se tornou um clássico, David Spiegelhalter — um dos maiores estatísticos da atualidade — combina a visão incomparável de um especialista com o entusiasmo de um aficionado e oferece um verdadeiro guia para explorarmos a arte dessa ciência que é muito mais do que um ramo da matemática. Em A arte da estatística, David Spiegelhalter utiliza a resolução de questões do mundo real como ponto de partida para introduzir conceitos estatísticos, dos simples aos mais complexos, sempre com notório didatismo.

Analytics and Data Reporting for Beginners introduces essential concepts and techniques to help you navigate the world of data with confidence. This guide simplifies the fundamentals of data analysis, reporting, and visualization, making it accessible for newcomers. Learn how to transform raw data into actionable insights and create clear, impactful reports that support strategic decision-making. Ideal for anyone starting their journey in data analytics and reporting.

This audiobook is a summary of the advice I’ve given to software engineers over the years–and then some more. This audiobook follows the structure of a “typical” career path for a software engineer, from starting out as a fresh-faced software developer, through being a role model senior/lead, all the way to the staff/principle/distinguished level. It summarizes what I’ve learned as a developer and how I’ve approached coaching engineers at different stages of their careers.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

Big data systems distribute datasets across clusters of machines, making it a challenge to efficiently query, stream, and interpret them. Spark can help. It is a processing system designed specifically for distributed data. It provides easy-to-use interfaces, along with the performance you need for production-quality analytics and machine learning. Spark 2 also adds improved programming APIs, better performance, and countless other upgrades.

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

As data floods into your company, you need to put it to work right away—and SQL is the best tool for the job. With the latest edition of this introductory guide, author Alan Beaulieu helps developers get up to speed with SQL fundamentals for writing database applications, performing administrative tasks, and generating reports. You'll find new chapters on SQL and big data, analytic functions, and working with very large databases.

In this comprehensive study guide, you will build a strong foundation in all topics covered on the certification exam, including the Databricks Lakehouse and its tools and benefits.

Marketing data isn’t a spreadsheet problem. It’s a people problem. In Data Lemonade, digital marketing strategist Malene Jorgensen shows you how to squeeze powerful insights from messy, overwhelming data and turn them into marketing that actually connectsThis isn’t just another analytics book. It’s a guide to making sense of data through the lens of psychology, behaviour, and decision-making. You’ll learn how to go beyond dashboards and dig into the human truths behind your marketing numbers so you can stop guessing and start scaling.

Welcome to "Predictive Power: Navigating the Landscape of AI Systems and Decision-Making." In this book, we embark on a journey into the fascinating world of artificial intelligence (AI) systems and their profound impact on decision-making processes across various domains. From business and healthcare to finance and beyond, AI technologies are revolutionizing and transforming how we analyze data, predict outcomes, and make informed choices.

Data analysis is a must-have skill that becomes more essential as the world becomes more data-driven. And one of the most effective ways to dive into data analysis is by learning a programming language. Python is a great place to start. This book explains everything you need to know to start using Python for data analysis.

Leading data analyst Sam Larner lifts the lid on international rugby, using his decade of experience at the professional level to reveal the tactical and data revolution that has taken the sport by storm. Sharing ground-breaking insight into the modern game, Sam analyses the metrics by which teams succeed and fail in their attempts to win yards, tries and matches, as well as why recent law changes are so important for rugby's development and what a data-driven future holds for the sport.

As data continues to grow and become more complex, organizations seek innovative solutions to manage their data effectively. Data mesh is one solution that provides a new approach to managing data in complex organizations. This practical guide offers step-by-step guidance on how to implement data mesh in your organization.

As Leeds celebrate their return to the Premier League, renowned Opta statistician and lifelong fan Jonny Cooper digs into the numbers and stats to present an alternative history of the club, from the glory of the Revie years right through to lifting the Championship trophy under Daniel Farke - via the title win of 92, never-ending play-off heartbreak, a brief visit to League One and, of course, the Marcelo Bielsa era.

This audiobook is for you. It has been narrated specially for all TikTok Everyday Users, Influencers and Content Creators around the world. We’ll show you how you can make the most of TikTok – safely and securely! You’ll find the knowledge and guidance you need to protect your TikTok account effectively.

The book Mastering AI Infrastructure and Cyber Security delves into the crucial aspects of safeguarding artificial intelligence (AI) systems and implementing robust infrastructure for AI applications. The book covers various topics, including AI algorithms, data privacy, cyber security threats, and defensive strategies.

Data and analytics are essential for any business, giving insight into what's working, what can be improved, and what else needs to be done. SAS software helps you make sure you're doing data right, with a host of data management, reporting, and analysis tools. SAS for Dummies teaches you the essentials, helping you navigate this statistical software and turn information into value.

Imagine a world where your data isn’t controlled by faceless corporations. A world where the internet isn’t a walled garden, but a boundless frontier of freedom, security, and opportunity. Welcome to Decentralizing the Future: The Story of Flux and the Rise of Web3. In this riveting journey, we unravel the story of the internet’s next great leap from the centralized grip of Web2, where a handful of tech giants hold the keys, to the decentralized promise of Web3. At the heart of this revolution is Flux, a trailblazer building the backbone of a new digital world.

Curious about AI but unsure where to start? AI for Beginners Made Simple breaks down complex concepts into clear, practical insights—no tech background required! Discover how AI can enhance your career, automate tasks, and open new opportunities with easy-to-follow explanations, real-world applications, and hands-on projects. Learn AI basics, navigate ethical concerns, and access free resources—all without the jargon overload.

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, data quality, idempotency, and more.