Títulos em Ciência de Dados

“One of my favorite books of the year. It completely reshaped how I think about information and how and why I take notes.” —Daniel Pink, bestselling author of Drive A revolutionary approach to enhancing productivity, creating flow, and vastly increasing your ability to capture, remember...

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.

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.

A potent exploration of the power of blockchains to reshape the future of the internet—and how that affects us all—from influential technology entrepreneur and startup investor Chris Dixon “A must for anyone who wants to better understand the real potential of blockchains and web3...

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.

Ransomware attacks are no longer a question of if—it's a matter of when. With hackers increasingly targeting backup and disaster recovery (DR) systems, organizations need more than prevention strategies; they need a battle-tested plan for minimizing damage, forensically determining what's happened and restoring your environment without paying the ransom. Renowned experts W. Curtis Preston and Dr. Mike Saylor offer a comprehensive guide to protecting critical systems and responding effectively when the worst happens.

In the age of artificial intelligence, machine learning, and data-driven innovation, the quality and quantity of data have become critical to success. Yet real-world data is often incomplete, biased, sensitive, or scarce. Data Generation explores how synthetic, real, and simulated data can be strategically created and used to overcome these limitations—fueling smarter systems, scalable solutions, and more ethical outcomes.

Are you passionate about making a difference, but struggle to measure the impact of your work? Do you wrestle with demonstrating to others the outcomes of your organization’s efforts? In Data for Good, Patricia Steele proposes a method to harness the power of data to reshape your nonprofit, educational institution, or social impact business into a dynamic force for positive change.

Unlock the full potential of your data with the power of Python. Python for Data Science: A Practical Guide to Data Wrangling, Analysis, and Machine Learning Using Python’s Most Powerful Libraries is your comprehensive roadmap to mastering the tools and techniques that turn raw data into meaningful insights and predictive models.

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.

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.

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.

'Illuminating' Eddie Jones 'Compelling' Metro 'Fantastic, a must-read for rugby fans' Ben Youngs 'Invaluable - a brilliant resource for anyone interested in rugby' Bernard Jackman ______________________________ Does it matter which foot your fly-half kicks with? How can teams win matches when...

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 any Leeds United fan will tell you, following the Whites is certainly never boring. Almost as famous for their periods of chaos as for their moments of glory, over the years supporters have been left exhilarated and exasperated in equal measure - whilst remaining one of the most passionate...

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.