Data Science Fundamentals

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.

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 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. 

Are you intrigued by the world of AI and data engineering? Do you find yourself captivated by the potential of these technologies to transform businesses and industries? If so, Data Engineering and AI for Beginners is the introductory guide you've been searching for. In today’s fast evolving digital landscape where data is lifeblood, those who harness its flow hold the keys to game-changing insights. This book addresses the very challenges and questions that have been on your mind: What is Data Engineering? How Does AI Fit into the Picture? Is This for Me, a Beginner? What Tools and ...

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.

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 ...

Learn Python Essentials for Newbie Python Developers & Data Scientists I'm Ghada, a certified data scientist, Linux expert, and author. Through this book, I will teach you the basics of Python step by step by simplifying complex concepts into their simplest forms. In this book, you will learn: Using the Jupyter notebook and Google Colab. What is Python? Why do we use Python for data science? Python Data types and Operators. Python Data structures. Python Control flow. Python Functions. Python Import Statement. Anaconda Spyder. Scripting in Python. Python Tips and Tricks. What To Do and What...

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.

If “I’ll study when I have time” has turned into “I never study,” you are not alone. The CompTIA DataX exam asks you to connect statistics, modeling, machine learning, and operational execution into one coherent way of working, and that is hard to do when your schedule is already full. DataX For Busy People is written for capable adults who need a clear plan, clean explanations, and practice that fits into real life. This book is designed to help you build exam-ready thinking, not just memorization. By the end, you should be able to read a question, identify what it is really ...

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.

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 ...

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.

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.

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.

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 ...

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...

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.

Python Data Science is a complete guide on Python for every person who is looking to expand their current or future business, learn the basics of data science, and how Python programming can be used for it. There are so many businesses that are going to benefit when it comes to working with data analysis and seeing this work for some of their needs. It is always a good idea to learn a bit more about this process and how you are able to really use it to learn more about your customers, learn how to beat out your competition, and so much more.