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Teach Ready Resource Bundle for Data Rookies Labs: Intro to Analytics with R
Teach Ready Resource Bundle for Data Rookies Labs: Intro to Analytics with R
Teach Ready Resource Bundle for Data Rookies Labs: Intro to Analytics with R
Teach Ready Resource Bundle for Data Rookies Labs: Intro to Analytics with R
Teach Ready Resource Bundle for Data Rookies Labs: Intro to Analytics with R
Teach Ready Resource Bundle for Data Rookies Labs: Intro to Analytics with R
Teach Ready Resource Bundle for Data Rookies Labs: Intro to Analytics with R
Teach Ready Resource Bundle for Data Rookies Labs: Intro to Analytics with R
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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

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

Teach Ready Resource Bundle for Data Rookies Labs: Intro to Analytics with R

Data Analytics Curriculum
13 Followers
$30.00

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

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

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