Description
Teach Ready Resource Bundle for Data Rookies Labs: Intro to Analytics with R
PLEASE note this accompanies this book available here: Data Rookies LABS: Intro to Analytics with R - Instructor PDF edition
**** VISIT PREVIEW LINK ABOVE FOR DETAILED INFORMATION ************
Teach hands-on data analytics with R confidently and efficiently.
This all-in-one instructor bundle provides comprehensive teaching resources to support the Data Rookies Labs: Introduction to Analytics with R workbook (sold separately). Perfect for beginner learners, these materials make it easy to deliver engaging, code-driven lessons that build real skills in R programming and analytics.
What’s Included
- TEACH READY Slides
21 fully editable PowerPoint decks aligned with each lab session, totaling 451 slides. Each deck breaks down key concepts, R syntax, and example code, making it simple to lead in-person classes, online sessions, or flipped classrooms without extra prep.
- Lab Exercises (R Markdown)
A complete set of 22 hands-on labs in editable .Rmd format designed for use in RStudio. Each lab includes scaffolded exercises covering topics from basic R programming to clustering, classification, and data visualization—no external datasets or setup required.
- Answer Key
Step-by-step, beginner-friendly solutions for every lab exercise from Lab 2 through Lab 22. Includes tested R code and clear explanations, helping you support learners as they master core analytics skills and troubleshoot independently.
- R Code Files
A ZIP archive containing all R scripts used in the labs and examples for easy access, reference, or customization.
Topics Covered Across Labs
- R and RStudio basics
- Data structures: vectors, data frames, tibbles
- Data wrangling and cleaning techniques
- Descriptive statistics and probability
- Data transformation and SQL integration
- Supervised and unsupervised learning (classification, clustering)
- Sentiment analysis and storytelling with data
- Data visualization with ggplot2 and geographic data mapping
Why This Bundle Works
- Saves hours of prep time with ready-to-use, editable materials
- Supports learners with clear, practical coding exercises
- Ideal for classroom, bootcamp, tutoring, and self-study settings
- Designed for complete beginners with no prior programming experience
- Compatible with Windows, macOS, or Linux using free R and RStudio software
Who Should Use This Bundle
- Educators teaching introductory R programming and data analytics
- Bootcamp instructors and workforce trainers
- Tutors and homeschool educators needing structured, hands-on labs
Teach Ready Resource Bundle for Data Rookies Labs: Intro to Analytics with R
Highlights
Description
Teach Ready Resource Bundle for Data Rookies Labs: Intro to Analytics with R
PLEASE note this accompanies this book available here: Data Rookies LABS: Intro to Analytics with R - Instructor PDF edition
**** VISIT PREVIEW LINK ABOVE FOR DETAILED INFORMATION ************
Teach hands-on data analytics with R confidently and efficiently.
This all-in-one instructor bundle provides comprehensive teaching resources to support the Data Rookies Labs: Introduction to Analytics with R workbook (sold separately). Perfect for beginner learners, these materials make it easy to deliver engaging, code-driven lessons that build real skills in R programming and analytics.
What’s Included
- TEACH READY Slides
21 fully editable PowerPoint decks aligned with each lab session, totaling 451 slides. Each deck breaks down key concepts, R syntax, and example code, making it simple to lead in-person classes, online sessions, or flipped classrooms without extra prep.
- Lab Exercises (R Markdown)
A complete set of 22 hands-on labs in editable .Rmd format designed for use in RStudio. Each lab includes scaffolded exercises covering topics from basic R programming to clustering, classification, and data visualization—no external datasets or setup required.
- Answer Key
Step-by-step, beginner-friendly solutions for every lab exercise from Lab 2 through Lab 22. Includes tested R code and clear explanations, helping you support learners as they master core analytics skills and troubleshoot independently.
- R Code Files
A ZIP archive containing all R scripts used in the labs and examples for easy access, reference, or customization.
Topics Covered Across Labs
- R and RStudio basics
- Data structures: vectors, data frames, tibbles
- Data wrangling and cleaning techniques
- Descriptive statistics and probability
- Data transformation and SQL integration
- Supervised and unsupervised learning (classification, clustering)
- Sentiment analysis and storytelling with data
- Data visualization with ggplot2 and geographic data mapping
Why This Bundle Works
- Saves hours of prep time with ready-to-use, editable materials
- Supports learners with clear, practical coding exercises
- Ideal for classroom, bootcamp, tutoring, and self-study settings
- Designed for complete beginners with no prior programming experience
- Compatible with Windows, macOS, or Linux using free R and RStudio software
Who Should Use This Bundle
- Educators teaching introductory R programming and data analytics
- Bootcamp instructors and workforce trainers
- Tutors and homeschool educators needing structured, hands-on labs




