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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: Data Rookies Labs Intro to Analytics with R (Paperback)
Publisher: Data Analytics Curriculum
Publication Date: 2025
Language: English
ISBN 10: 1969233133
ISBN 13: 9781969233135
Binding: Paperback
Condition: new

About this title

Synopsis

A Hands-On Introduction to Data Analytics using R

Data 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.

"About this title" may belong to another edition of this title.

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