Data Rookies Labs Intro to Analytics with R (Hardcover)

Data Analytics Curriculum

ISBN 10: 1969233141 / ISBN 13: 9781969233142

Published by Data Analytics Curriculum, 2025

About this Item

Hardcover. 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 resources - code, worksheets, markdown exercises for students, slides, answer keys and more - are available from the publisher for self-study or class use. 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.

Seller Inventory # 9781969233142

Bibliographic Details

• Title: Data Rookies Labs Intro to Analytics with R (Hardcover)
• Publisher: Data Analytics Curriculum
• Publication Date: 2025
• Language: English
• ISBN 10: 1969233141
• ISBN 13: 9781969233142
• Binding: Hardcover
• 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 resources - code, worksheets, markdown exercises for students, slides, answer keys and more - are available from the publisher for self-study or class use.