Data Rookies Labs Intro to Analytics with R (Paperback)
Data Analytics Curriculum
Sold by AussieBookSeller, Truganina, VIC, Australia
AbeBooks Seller since 22 June 2007
New - Soft cover
Condition: New
Quantity: 1 available
Add to basketSold by AussieBookSeller, Truganina, VIC, Australia
AbeBooks Seller since 22 June 2007
Condition: New
Quantity: 1 available
Add to basketPaperback. 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.
Seller Inventory # 9781969233135
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.
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