Showing titles in Data Science

We are living in the age of information and there’s no denying it—those who are best at organizing, understanding, and then using data to their advantage will be the ones on top. The skills themselves are simple and easy to learn and will give you a tremendous advantage in the highly competitive marketplace of today’s workforce. The only thing left is for you to give a little commitment and launch yourself into a whole new reality of success.

Radically improve the quality of your data visualizations by employing core principles of color, typography, chart types, data storytelling, and more. Everyday Data Visualization is a field guide for design techniques that will improve the charts, reports, and data dashboards you build every day. Everything you learn is tool-agnostic, with universal principles you can apply to any data stack.

Do you want to learn how to build a pen test lab, but you don’t know where to start? Do you want a practical book that explains step by step how to get going? Do you want to become an ethical hacker or pen tester? If the answer is yes to the above questions, this audiobook is for you. Buy this audiobook now, and get started today!

Smacking some numbers onto a pie chart is old news and simply doesn't work anymore. Keeping your audience inspired and on the edge of their seats through an engaging data story is what we as business professionals should be striving to do. How to Win with Your Data Visualizations uncovers the fundamentals of what makes a winning data presentation and has laid them out in five easy-to-understand parts you can immediately apply to your next chart and presentation to see a winning data story unfold.

Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications.

Data Leadership for Everyone is a game-changing book for anyone who believes in the power of data and is ready to create revolutionary change in their organization. Whether you're a C-suite executive, a manager, or an individual contributor, this book will propel your career by unlocking the mystery of how raw data transforms into real outcomes.

Databases are structured collections of data that enable efficient retrieval, insertion, updating, and deletion of information. They serve as the foundation for various applications, from simple contact lists to complex enterprise systems. Key concepts include tables, which organize data into rows and columns; relationships, which define connections between tables; and SQL (Structured Query Language), used to interact with databases by querying and manipulating data.

Infinitely scale your business to greater heights with Amazon Web Services. With this audiobook, you will be able to tap into the Amazon Web Services and harness their power, easy-peasy! Amazon’s business model makes it easy for every business owner - whether they’re just starting out, or already have an established business that need technology to catch up with the changing tides - to customize what services they get, at prices they can control! Amazon Web Services is the only technology you will need to help your business expand its reach across oceans in no time!

Data Science stands at the forefront of innovation in the tech industry, driving profound decisions and revolutionizing the way companies operate. "Ace the Data Science Interview" is your definitive guide to mastering the interview process at the most prestigious tech firms around the globe.

Go in Action is for any intermediate-level developer who has experience with other programming languages and wants a jump-start in learning Go or a more thorough understanding of the language and its internals. This book provides an intensive, comprehensive, and idiomatic view of Go. It focuses on the specification and implementation of the language, including topics like language syntax, Go's type system, concurrency, channels, and testing.

Today, 91 percent of Python programmers are not quite prepared. This is what the IT companies say, according to a recent survey. Do you know why? The reason is that they have no notions of artificial intelligence. So, future programmers will no longer find work without having knowledge of this particular field that is constantly evolving.

The data lakehouse is the next generation of the data warehouse and data lake, designed to meet today’s complex and ever-changing modern information systems. This book shows you how to construct your data lakehouse as the foundation for your artificial intelligence (AI), machine learning (ML), and data mesh initiatives. Know the pitfalls and techniques for maximizing business value of your data lakehouse. In addition, be able to explain the core characteristics and critical success factors of a data lakehouse. By reviewing entry errors, key incompatibility, and ensuring good documentation...

While you may have never thought of networking in detail, this book will introduce you to the basics of networking, the different types of networks available, the types of network topologies that you will encounter, the concept of server virtualization, and details of how to handle network breaches.

Are you ready to revolutionize your writing with AI? In "Command the Page," Charlie Deist introduces a groundbreaking approach to writing in the age of artificial intelligence. As AI reshapes industries and professions, writers and creatives face a pivotal choice: adapt or become obsolete. This book is your guide to not just surviving but thriving in this new landscape. Deist reveals how AI, like ChatGPT, is more than a tool; it's a collaborator that can enhance your creative process. Learn how to merge AI's computational power with the irreplaceable touch of human creativity. Through ...

Dive into the fascinating world of big data with our latest eBook, "The Data Revolution." This comprehensive guide will take you on a thrilling journey through this broad and constantly evolving field, highlighting its growth, evolution, and critical role in today's ever-connected society. "The Data Revolution" opens your mind to the powerful intersection of big data and analytics. Unravel the multiple facets of analytics - descriptive, predictive, and prescriptive - and appreciate its profound applications and importance in the digitalization era. Experience a deep dive into how big data ...

Un científico de datos es alguien que sabe más de informática que un estadístico, y conoce más estadísticas que un científico de la computación. Si bien, en gran medida, esto es cierto, convertirse en un buen científico de datos requiere el dominio no solo de estas dos áreas clave, sino también de algunas teorías y modelos cruciales para este campo. El libro se recomienda a todos los lectores interesados ​​que aspiran a destacarse en el campo de la ciencia de datos.

While the world is transfixed by bitcoin mania, your competitors are tuning out the noise and making strategic bets on blockchain. Your rivals are effortlessly tracking every last link in their supply chains. They're making bureaucratic paper trails obsolete while keeping their customers' data safer and discovering new ways to use this next foundational technology to sustain their competitive advantage.

Understanding Ethereum now could equip you with the knowledge ahead of a major technological revolution in these early stages of development. After listening to this audiobook, you will understand how to easily set up an Ether wallet and then buy and trade Ether. This audiobook always contains information about mining Ether including cloud mining and more advanced Ethereum topics.

Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases.

When you think of data, do you think of complex charts and dashboards, things that are best left up to the experts to decipher? It's time to debunk that myth. In this book, you will discover the following: What data literacy is (it's more than just reading a chart) Why everyone should have a basic understanding of data literacy (your opinion matters) How our brains make decisions (there is a science to decision-making) How to become aware of individual and organizational bias (so we can grow as people while avoiding costly mistakes) How to turn data into wisdom (a clear process and ...