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.

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 ...

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.

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, the author discusses the various intricacies of Artificial Intelligence Fundamentals. The book is written for those with or without a technical background.

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.

From the moment you open an app, search the web, or send a message, data structures and algorithms are silently at work. They are the hidden engines that decide how fast your newsfeed loads, how securely your payment is processed, and how efficiently millions of users share the same resources.

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.

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.

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...

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.

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 ...

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.

Tired of dense, boring textbooks that make learning SQL feel impossible? Ready to gain the single most valuable skill in the data world, fast? The truth is, the high-paying careers of Data Analyst, Data Engineer, and Data Scientist all have one thing in common: they are built on a rock-solid foundation of SQL. Without it, you are locked out. This book is your key. SQL: Zero to Hero is not just another reference manual. It is a carefully designed, fast-track training program that cuts through the fluff and delivers the job-ready skills you need. Built by an expert trainer, this "bootcamp in ...

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.

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.

Are you a newbie to computer programming and you want to start but you are a little confusing? Are you searching for a book with many practical examples within? Are you curious to understand why Python is the best way to begin? If you feel related to those questions, then this audibook is for you. Here you will find tons of useful information about Python divided into sections to make the learning process easier and more interesting.

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.