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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Bibliographic Details

Title: Data Rookies Labs (Paperback)
Publisher: Data Analytics Curriculum
Publication Date: 2025
Language: English
ISBN 10: 1969233001
ISBN 13: 9781969233005
Binding: Paperback
Condition: new

About this title

Synopsis

Learn Data Analytics Through Visual, Hands-On Labs with Orange

Data 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.

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