Data Science Fundamentals

Gain a competitive edge in today’s data-driven world and build a rich career as a data professional that drives business success and innovation… Today, data is everywhere… and it has become the essential building block of this modern society. And that’s why now is the perfect time to pursue a career in data. But what does it take to become a competent data professional? This book is your ultimate guide to understanding the fundamentals of data analytics, helping you unlock the expertise of efficiently solving real-world data-related problems.

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.

Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. 

Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. 

Science Concepts Explained for Non-Scientists: Clear Guides to How the World Works Computer Science Explained for Non-Scientists: How Algorithms, Data, and Digital Systems Shape the Modern World is a clear, accessible guide to one of the most influential sciences of the modern age. Written for readers with no technical background, this book explains how computer science works at the conceptual level, focusing on ideas rather than coding, formulas, or jargon. It reveals what happens behind the screens we use every day and shows how computers transform information into action through ...

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.

In her second week at a logistics startup, a bootcamp graduate received a ticket that read, simply, “add machine learning to flag late shipments.” She spent two days searching for a model to download before a senior engineer asked one question: how do late shipments get labeled today? The answer was sitting in a single column of the orders table. The ticket needed a SQL query and an alert, not a neural network. She had reached for machine learning because the word was in the ticket — not because the problem required it. That story is where most ML introductions fail the people who ...

Most organizations view data monetization—converting data into money—too narrowly: as merely selling data sets. But data monetization is a core business activity for both commercial and noncommercial organizations, and, within organizations, it’s critical to have wide-ranging support for this pursuit. In Data Is Everybody’s Business, the authors offer a clear and engaging way for people across the entire organization to understand data monetization and make it happen.

Unlock the power of data and artificial intelligence with the Fundamentals Series—a comprehensive two-book collection designed to equip you with the essential skills to succeed in today’s technology-driven world. Whether you’re looking to build a career in data analytics, harness the potential of AI, or monetize cutting-edge tools like large language models, this series provides the ultimate roadmap.

Unlock the secrets of coding in this immersive journey through enchanted realms where every chapter brings core programming concepts to life through unforgettable stories. Perfect for beginners, students, and experienced developers alike, The Codex Chronicles transforms complex coding principles into tales of adventure, where dragons, sorcerers, and scholars master recursion, algorithms, data structures, and more. In Recursive Kingdom, follow Loop the Dragon and Function the Knight as they retrieve the Chalice of Solutions, uncovering the magic of recursion. Traverse Netlandia with Nova the...

Would you like to learn to use Python extracting meaningful insight from data to grow your business but you reckon it will be too complex? As a beginner, you will be probably afraid that programming is difficult. Learning data analysis and data mining can take months, and the possibility to give up before mastering them could be high. The best solution is a complete programming manual with hands-on projects and practical exercises. This guide is structured as a course with seven chapters for seven days and studied special exercises to apply what you learned step-by-step.

Artificial intelligence is transforming every industry, but successful machine learning projects rarely fail because of algorithms. They fail because the wrong problems are chosen, the wrong data is collected, the wrong metrics are optimized, or the resulting models never become reliable production systems. Machine Learning Fundamentals in Action takes a practical approach to machine learning by focusing on the complete lifecycle of a real-world solution—from identifying the business decision that matters to deploying, monitoring, governing, and continuously improving production models. ...

Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.

According to historians, human beings have experienced the pre-industrial matter-based era (like the stone age) and the industrial energy-based era (like the steam age) in the past and now are experiencing the post-industrial information-based era (like the communication and information age). Based on this, we are living in the so-called ‘information age’ and information technology has put into our hands what was as a dream about a few decades ago. Indeed, we are living in an ‘ocean of information’ and ‘hunt’ what we need, from this ocean! This is a short outline of the main ...

If you found a rusty old lamp on the beach, and upon touching it a genie appeared and granted you three wishes, what would you wish for? If you were wishing for a successful application development effort, most likely you would wish for accurate and robust data models, comprehensive data flow diagrams, and an acute understanding of human behavior. The wish for well-designed conceptual and logical data models means the requirements are well-understood and that the design has been built with flexibility and extensibility leading to high application agility and low maintenance costs. The wish ...

Master the complex digital systems shaping our modern world without getting lost in dense computer science jargon. Perfect for a productive commute, this accessible guide transforms overwhelming tech buzzwords into empowering knowledge. Whether you are a curious beginner or upskilling for a...

In this book, you’ll find methods and techniques to organize your data, extract the information, and analyze it. There’s a way to make sure your company is going in the right direction, and this audiobook will reveal the secret behind a successful business.

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.

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. It is a field where one should be trained and practiced. Without proper training and applicative skills, one cannot be as successful as a data scientist. There is a lot to learn about various data science tools and techniques. Getting certified will not only help you hone your skills but also will confirm your future as a data scientist.

Ever wonder how we know what we know? Especially in medical research? How do we know that some diets are probably more healthful than others? How do we know that smoking is likely to cause lung cancer? You might be surprised to learn that it's not all about scientists doing experiments in labs. Much of what we know comes from population sciences. And epidemiology is the mother of all population health sciences! Nothing To Do With Skin is an introduction to the science of population epidemiology, written by a well known, award winning, senior epidemiologist. The book is written for the ...