Showing results for "data analytics curriculum"

AI Rookies Labs: Beginning NLP with Orange is a hands-on, visual lab workbook that introduces students to natural language processing (NLP) using the no-code Orange data mining platform. Designed for high school, college, and independent learners, this book teaches core concepts such as text preprocessing, sentiment analysis, topic modeling, and text classification-without requiring any programming experience. Each lab guides readers through step-by-step workflows using drag-and-drop widge...

Programming for Analytics introduces the fundamental programming concepts needed for modern data analytics, business intelligence, artificial intelligence, and data science. Designed for beginners with little or no coding experience, this textbook emphasizes analytical thinking, problem-solving, automation, and reproducible workflows rather than computer science theory.Students learn how programming supports data analysis, automation, reporting, and decision-making. The book introd...

Data Mining and Exploration provides a comprehensive, hands-on introduction to the core methods used in modern data analytics and machine learning. Designed for community college and undergraduate students, This book bridges foundational statistical thinking with applied data mining techniques used in today's AI-driven world.The book begins with the history and evolution of data mining and progresses through essential topics including descriptive statistics, data acquisition, data ...

Introduction to Business Analytics is an accessible, hands-on textbook that introduces students or independent learners to the concepts, tools, and decision-making processes that drive modern organizations. Written for introductory business analytics, data analytics, and AI literacy courses, the book focuses on practical applications rather than advanced mathematics or programming.Students explore the four major types of analytics-descriptive, diagnostic, predictive, and prescripti...

AI and Data Literacy is designed for independent learners or courses in data analytics, statistics, and artificial intelligence. The text integrates conceptual foundations with hands-on learning through applied labs, real-world datasets, and guided exercises. Intended for full-semester academic use, this edition supports students and instructors in developing practical AI and data literacy skills.Learning resources are available from the publisher (www.datajoyai.com).Introd...

Data Wrangling with SQL is a hands-on textbook designed to help students develop the practical skills needed to prepare real-world data for analysis. Because most data arrives incomplete, inconsistent, or poorly structured, data wrangling is often the most time-consuming and critical phase of the analytics process.Using clear explanations, business-focused examples, and guided exercises, students learn how to assess data quality, clean messy datasets, handle missing values, remove ...

Machine Learning and Natural Language Processing provides an accessible, applied introduction to machine learning (ML) and natural language processing (NLP) for students, educators, and business professionals. Designed for introductory college courses in analytics, artificial intelligence, and data science, this text focuses on practical understanding rather than advanced mathematics.Readers learn how machine learning systems identify patterns in data, make predictions, support dec...

AI and Data Literacy: Academic Edition is a practical, hands-on guide to understanding data and artificial intelligence. It breaks down complex concepts into clear explanations and 12 guided labs that build real, usable skills.Designed for students, educators, and lifelong learners, the book focuses on how AI and data actually work-how data is collected, cleaned, analyzed, and used to train models-so readers can think critically and use modern tools with confidence...

Get your statistics basics right before diving into the world of data science Key FeaturesNo need to take a degree in statistics, read this book and get a strong statistics base for data science and real-world programs;Implement statistics in data science tasks such as data cleaning, mining, and analysisLearn all about probability, statistics, numerical computations, and more with the help of R programsBook DescriptionData sc...

Master AI Fundamentals and Build Real-World Machine Learning and Deep Learning Solutions.Book DescriptionAI is transforming industries, driving innovation, and shaping the future of technology. A strong foundation in AI fundamentals is essential for anyone looking to stay ahead in this rapidly evolving field.Kickstart Artificial Intelligence Fundamentals is a comprehensive companion designed to demystify core AI concepts, covering Machine Learning, Deep Learning, and N...

Optimize your marketing strategies through analytics and machine learningKey FeaturesUnderstand how data science drives successful marketing campaignsUse machine learning for better customer engagement, retention, and product recommendationsExtract insights from your data to optimize marketing strategies and increase profitabilityBook DescriptionRegardless of company size, the adoption of data science and machine learning for...

Feel confident navigating the fundamentals of data scienceData Science Essentials For Dummies is a quick reference on the core concepts of the exploding and in-demand data science field, which involves data collection and working on dataset cleaning, processing, and visualization. This direct and accessible resource helps you brush up on key topics and is right to the point—eliminating review material, wordy explanations, and fluff—so you get what you need...