Showing titles in Data Science

Navigating the captivating world of ham radio can seem daunting, but with the right preparation, achieving your license is within reach. Mastering the Airwaves offers aspiring amateur radio operators a comprehensive roadmap to acing the ham radio licensing exam.

This audiobook has lots of valuable, eye-opening information about data analytics, which will help you understand the concept of data mining, data collection, big data analytics for business, and business intelligence concepts. With this audiobook, not only will you understand all the internal nitty-gritties about data analytics, you will also understand why data analytics is changing the business arena. You’ll realize that the high-performance analytics will enable you to do stuff that you never thought about before.

Introducing "Building Smart Devices and Home Automation Systems with Raspberry Pi and IoT" – the ultimate guide that will transform your ordinary home into a smart and connected living space! Are you ready to unleash the power of Raspberry Pi and IoT technologies? This eBook is the perfect resource for both beginners and advanced users alike. Dive into 41 comprehensive chapters that cover every aspect of smart home automation and IoT device development. From setting up your Raspberry Pi to designing and prototyping custom IoT devices, this book will take you on a journey to explore ...

The Microsoft Access Database comes with its own programming language known as Visual Basic Applications. It provides a powerful way that allows automation and usually controls how an access database application operates. Even though it is easy to use, getting started can tend to be overwhelming or intimidating for beginners. To make things easy for you to learn and understand we have come up with this powerful yet short book. This incredible product is intended to help you feel at home in a programming environment while learning access VBA programming quickly.

This is a collection of two comprehensive books about data analytics and data mining.

Graph-Powered Machine Learning teaches to use graph-based algorithms and data organization strategies to develop superior machine learning applications. You’ll dive into the role of graphs in machine learning and big data platforms, and take an in-depth look at data source modeling, algorithm design, recommendations, and fraud detection. Explore end-to-end projects that illustrate architectures and help you optimize with best design practices.

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.

This book explores how decision-making is changing in the digital economy. The role of data and intuition will continue to rebalance as analytics take on a more significant role in how companies develop and execute strategy. Case studies explore best-in-class organizations from various sectors including pro sports, media, and finance.

So, you have decided you want to try your hand at developing apps for Android or iPhone, but you don't know where to start. This book will give you the firm foundation you need for success in the competitive field of app development.

Did you know the value of data usage has increased job opportunities but that there are few specialists? These days, everyone is aware of the role data can play, whether it is an election, business, or education. But how can you start working in a wide interdisciplinary field that is occupied with so much hype? This audiobook presents you with a step-by-step approach to data science as well as secrets only known by the best data scientists.

R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing.

Big data - the enormous amount of data that is created as virtually every movement, transaction, and choice we make becomes digitized - is revolutionizing business. Offering real-world insight and explanations, this audiobook provides a roadmap for organizations looking to develop a profitable big data strategy...and reveals why it's not something they can leave to the I.T. department. Think Bigger is an essential resource for anyone who wants to ensure that their company isn't left in the dust.

Want to learn quick and easy about Excel PivotTable? Want to learn how to put an interactive Dashboard together? Want to learn where to find a database that you can use at any point in time? Did we hook you yet? In this audiobook learn the basics of what a PivotTable is and how to create an interactive Dashboard. Go from ho-hum to off the charts. You can even learn the different types of charts that Excel offers and when to utilize them, how to create them and adjust them.

Knowing how to craft SQL queries and navigate your way around a database is an essential skill if are a Database Administrator, System Administrator, or Programmer. This book guides you step-by-step by teaching you how to create databases, populate those databases with data, extract just the data you need, and much more.

In a rapidly evolving digital age, two giants emerge from the shadows: Bitcoin and Ethereum. But what makes them distinct? And why is understanding them crucial for our digital future? "Mastering Blockchain" delves deep into the intricate world of decentralized systems. Journey from the birth of cryptocurrency, understand the genius of Ethereum's smart contracts, and explore the potential and challenges that lie ahead.

Structured Query Language (SQL) is the gold standard for interacting with modern databases. Used by companies all over the world, SQL allows users to manipulate the contents, architecture, and existence of a Relational Database Management System (RDBMS) with just a few commands. Knowledge of this simple, yet powerful tool is becoming ubiquitous in workplaces big and small, corporate, and public. From young startups to multinational conglomerates - businesses of all types need to effectively manage and process their data.

Data science is the application of a combination of mathematical, statistical, analytical, and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is. The job of such a scientist is trending all over the world. The demand for such scientists is huge, more than the number of available candidates. Data science is a field of study that is growing at a fast pace. From big tech companies to E-commerce companies to websites and many others are now relying on data science.

Unleash the full potential of your applications and services and take your business to the next level with this definitive guide to AWS, the world's number one cloud platform! In this guide, you're going to be taken by the hand and shown everything you need to know about AWS and cloud computing. You'll discover everything you need to build and manage massively scalable, fault-tolerant applications with AWS range of powerful, cloud-based tools without having to deal with the headache of owning and managing tech infrastructures.

This is a two book bundle related to starting to master Python programming language and dominating the Linux operating system!

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.