data analytics curriculum (118 results)

Paperback. Condition: new. Paperback. Start your data journey by mastering the messy middle-data wrangling. This beginner-friendly book walks you through the core skills every data analyst needs such as fixing missing values, combining tables with SQL, transforming variables, and modifying datasets for analysis. With real-world examples, no-code workflows, and plain explanations, you'll learn the concepts of how to prepare data that's ready for insights. Pair this book with companion books with lab exercises to practice (available in R and Orange), slides, solution guides and more available resources at our website to bring your learning data analytics to life.Full resources for teaching or self-study are available from the publisher to use with this book. A clear, engaging introduction to data wrangling concepts-cleaning, transforming, and preparing data for analysis. Designed to accompany hands-on lab books for R, Orange, and other tools in this series. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Paperback. Condition: new. Paperback. Learn Data Analytics Through Visual, Hands-On Labs with OrangeData Rookies Labs: Intro to Analytics with Orange offers a practical, no-code introduction to data science using the intuitive Orange platform. Designed for beginners, this workbook guides students through real-world tasks like classification, clustering, association rules, data cleaning, visualization, and text mining-all using drag-and-drop workflows.Each lab provides step-by-step instructions, screenshots, and sample datasets to help students understand how data is used to generate insights and drive decisions. With no programming required, it's ideal for high school, college, or adult learners looking to build foundational data literacy through an interactive, visual approach.Perfect for classrooms or self-paced study, this book helps learners think like data analysts-no coding required. A no-code, visual introduction to data analytics using Orange software. Includes step-by-step labs covering key topics like regression, classification, sentiment analysis, and data wrangling-perfect for beginners and educators. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Paperback. Condition: new. Paperback. Start your NLP journey by mastering the messy middle-text preprocessing. This beginner-friendly guide introduces you to the core skills every aspiring NLP practitioner needs, such as cleaning and tokenizing text, handling stop words, stemming and lemmatization, and converting text into features. You'll then explore foundational tasks like text classification and sentiment analysis using real-world datasets. With no-code and plain-language explanations, this book makes natural language processing approachable and practical-even if you're just getting started.Pair this book with companion books with lab exercises to practice (available in R and Orange), slides, solution guides and more available resources at our website to bring your learning analytics to life. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Hardcover. Condition: new. Hardcover. Start your data journey by mastering the messy middle-data wrangling. This beginner-friendly book walks you through the core skills every data analyst needs such as fixing missing values, combining tables with SQL, transforming variables, and modifying datasets for analysis. With real-world examples, no-code workflows, and plain explanations, you'll learn the concepts of how to prepare data that's ready for insights. Pair this book with companion books with lab exercises to practice (available in R and Orange), slides, solution guides and more available resources at our website to bring your learning data analytics to life.Full resources are available from the publisher - slides, answers, quizzes, worksheets - for teaching and self study. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. Jumpstart your journey into data mining with this clear, beginner-friendly guide. Whether you're a student, educator, or career-changer, this book makes complex ideas approachable. You'll explore the foundations of clustering, classification, and association using real-world examples, practical explanations, and plain language-no prior experience required.Pair this book with companion books with lab exercises to practice (available in R and Orange), slides, solution guides and more available resources at our website to bring your learning data analytics to life. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. Master text analytics and natural language processing-one lab at a time.This lab-based workbook is your no-fluff, beginner-friendly path to learning text analytics and NLP using real R code. You'll work hands-on with real data and clear examples as you move from tokenization and stopword removal to sentiment analysis, topic modeling, classification, embeddings, and more.Each lab walks you through the entire process-installing packages, running code, understanding output-without assuming any prior programming experience. Whether you're a student, instructor, or data-curious learner, this book helps you build real skills in text mining and natural language processing using R and RStudio.If you want to learn by doing, not just reading, this is your starting point.Extensive resources and supplements are available from the publisher (code, data, slides and more) for teaching and self study. This workbook guides you through hands-on labs using R to master text analytics and NLP. It covers everything from tokenization to sentiment analysis, topic modeling, and builds real skills in text mining without prior programming experience. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Hardcover. Condition: new. Hardcover. Unlock the power of R and dive into real-world data mining. This hands-on workbook guides you through clustering, classification, and association techniques using approachable language, engaging labs, and no programming prerequisites. Ideal for beginners, students, and instructors alike, you'll learn to explore, normalize, and model data step-by-step-building skills that transfer directly into data science careers. R isn't just a language here-it's a gateway to applied analytics, made accessible through structured, beginner-friendly labs.This title has extensive resources (code files, worksheets, teaching slides, answers) for courses and self-study available from the publisher. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. A Hands-On Introduction to Data Analytics using RData Rookies Labs: Intro to Analytics with R is a guided lab workbook designed to help students learn data science by doing. Through 22 structured labs, learners use R and RStudio to explore topics including descriptive statistics, regression, sampling, data visualization, SQL, classification, sentiment analysis, and more. Each lab provides clear instructions, working code examples, and practice exercises focused on real-world tasks. Students learn to manipulate, analyze, and visualize data using base R, the Tidyverse, and common analytics packages.Built for classrooms and independent study alike, this workbook provides a strong foundation in applied analytics using R-no fluff, no shortcuts, just real code and real skills.Full supplementary resources available from the publisher (answers, slides, worksheets) ready to teach or for self-study. A hands-on workbook for learning data analytics using R. Students use real-world datasets to explore, summarize, clean, and visualize data step by step. Designed for beginners in high school, college, or self-paced programs. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: new. Hardcover. Jumpstart your journey into data with this clear, approachable introduction designed for absolute beginners. Whether you're a student, educator, or curious career-changer, this book walks you through essential concepts-from wrangling data and reading charts to understanding AI, ethics, and career paths-using real-world examples and plain language.Pair this book with companion books with lab exercises to practice (available in R and Orange), slides, solution guides and more available resources at our website to bring your learning data analytics to life. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: new. Hardcover. Learn Data Analytics Through Visual, Hands-On Labs with OrangeData Rookies Labs: Intro to Analytics with Orange offers a practical, no-code introduction to data science using the intuitive Orange platform. Designed for beginners, this workbook guides students through real-world tasks like classification, clustering, association rules, data cleaning, visualization, and text mining-all using drag-and-drop workflows.Each lab provides step-by-step instructions, screenshots, and sample datasets to help students understand how data is used to generate insights and drive decisions. With no programming required, it's ideal for high school, college, or adult learners looking to build foundational data literacy through an interactive, visual approach.Perfect for classrooms or self-paced study, this book helps learners think like data analysts-no coding required.FULL resources are available from the publisher for teaching or self study. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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