Data Science Language

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. 

This comprehensive guide to Microsoft Azure Data Engineering is designed to elevate your skills in data analytics, pipeline development, and Azure cloud solutions. Dive deep into essential concepts like data integration, ETL, SQL, Data Lakes, storage management, Data Governance, Data Strategy and big data architecture. This eBook is a Number #1 Best Seller in the following categories: #1 Data Warehousing #1 Computer Engineering #1 SQL Programming In today's job market, skilled Azure Data Engineers are rare, and their compensation reflects that rarity. They enjoy substantial salaries and the...

LLM Data Science: Leveraging Large Language Models for Advanced Data Insights explores the transformative role of large language models (LLMs) in the field of data science. This comprehensive guide covers everything from foundational concepts to hands-on applications, helping data scientists harness LLMs to generate meaningful insights, automate tasks, and tackle complex data problems. Beginning with an introduction to the basics of LLMs and their unique advantages in data science, this book explains how these models can enhance data preprocessing, classification, information retrieval, and...

The Only AI & Computer Science Reference You Will Ever Need Tired of juggling twenty books, three courses, and hundreds of blog posts just to understand one concept? This encyclopedia ends that. Over 1,000 pages — from computer science foundations to deploying production LLM systems — organized so every concept buil2026ds on the last. What's Inside 49 Major Topics with complete coverage: CS Foundations, Algorithms, Systems Design, Databases, Cloud/DevOps, Machine Learning, Deep Learning, Generative AI, LLMs, MLOps, Cybersecurity, AI Safety, and Future Technologies 335+ Reference Tables ...

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. 

Bullshit isn’t what it used to be. Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data. Misinformation, disinformation, and fake news abound and it’s increasingly difficult to know what’s true. Our media...

Your comprehensive guide to mastering The Data Component of your EOS Model—taking you from uncertain to unstoppable. Have you ever felt lost in knowing how your business is actually doing? Were you surprised by events that you didn’t see coming? Did you spend sleepless nights wondering...

“A practical, heartfelt manual for anyone who needs to change minds and actions. Lisa Cron shares the art of practical empathy with leaders who care enough to make a difference.”—Seth Godin, author of The Practice A step-by-step guide to using the brain’s hardwired need for story to...

This program is read by the author and includes a bonus interview with the author. “Engaging and entertaining, this work is essential listening for anyone following the potentially explosive development of AI.” —AudioFile Shortlisted for the Women’s Prize for Nonfiction A riveting story...

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.

Artificial Intelligence Explained is a clear, practical, and beginner-friendly guide to understanding the fascinating world of AI. Whether you're a student, professional, teacher, entrepreneur, or simply curious about Artificial Intelligence, this book explains complex concepts in simple language using everyday examples and easy-to-understand analogies. You'll learn what Artificial Intelligence is, how it differs from traditional programming, and how technologies such as Machine Learning, Deep Learning, Neural Networks, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), ...

Book Title: Handbook for Prompt Engineering: A Complete Guide and Examples for Prompt Engineering Science from Scratch to Application Unlock the full potential of AI-driven interactions with the definitive guide to prompt engineering. "Handbook for Prompt Engineering: A Complete Guide and Examples for Prompt Engineering Science from Scratch to Application" provides an authoritative and comprehensive exploration of the principles, techniques, and best practices essential for mastering prompt engineering in natural language processing (NLP) and artificial intelligence (AI). About the Book: ...

Discover How Mathematics Powers the World of AI! Are you fascinated by the science behind AI? Do you want to understand the mathematics driving today’s most innovative technologies? “How Math Shaped the AI” provides the step-by-step guidance you need to unravel the mathematical principles behind artificial intelligence and machine learning. Do you find advanced math concepts intimidating? Are you searching for a clear, approachable resource to deepen your AI knowledge? Overcome Your Struggles with AI Mathematics – We've Been There! We understand how challenging it can be to grasp ...

"Graph Database Modeling With Neo4j" is a comprehensive textbook designed to provide a thorough grounding in the principles, design, and application of graph databases, specifically using the industry-leading Neo4j platform. It serves as both a foundational guide for newcomers and a practical reference for advanced learners. Philosophy The core philosophy of this book is "learning by doing." I believe that true mastery of a technology like Neo4j comes not from abstract theory alone, but from hands-on application and problem-solving. Every concept is introduced with a clear "why" before ...

If you want to learn about business intelligence and predictive analytics, then keep reading... Two manuscripts in one book: Business Intelligence: An Essential Beginner’s Guide to BI, Big Data, Artificial Intelligence, Cybersecurity, Machine Learning, Data Science, Data Analytics, Social Media and Internet Marketing Predictive Analytics: The Secret to Predicting Future Events Using Big Data and Data Science Techniques Such as Data Mining, Predictive Modelling, Statistics, Data Analysis, and Machine Learning In the modern business world, the pace of action continues to quicken. Businesses...

Break the Code, Be Part of the Inner Circle Imagine a world where you have the power to create anything you can dream of, where your ideas come to life with just a few lines of code. Welcome to the exciting and boundless world of programming! If you are looking to start your journey into coding, "Code Breakers: Understanding The Language of Computers" is the perfect guidebook to help you navigate this exhilarating landscape. The goal of this book is to introduce you to the fundamentals of coding in a fun, engaging, and accessible way. But why learn to code, you might ask? In today's digital...

Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. 

Al doesn't have to be intimidating. It can be practical, simple, and genuinely useful - starting today. In AI BASICS: Your Personal Guide to Understanding and Using Artificial Intelligence, Skylah Tech strips away the confusion and gives you a clear, step-by-step path to using Al with confidence - no technical background required. Whether you're a business owner, educator, student, or simply curious about what Al can do, this friendly guide shows you how to turn Al into a helpful tool for everyday life and work. Inside, you'll learn how to: • Understand what Al actually is (without the ...

Data science gets thrown around in the press like it's magic. Major retailers are predicting everything, from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. Data science is little more than using straightforward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will teach how you how that's done within the familiar environment of a spreadsheet.

Python programming has become a must-learn skill in the data science domain. It has evolved as the most preferred programming language for data-driven development because it is suitable for many data science tasks and is easy to learn compared to other programming languages. In short, Python is the closest programming language to fit the goal of a beginner and a great starting place.