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Data Rookies Labs: Data Mining with R -Instructor PDF edition
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Description

*********************'************************************************************

Please review the product preview accessible on this page for detailed info about this curriculum and book

*********************************************************************************


Data Rookies Labs: Data Mining with R – Instructor Edition

TPT Exclusive PDF Workbook | Step-by-Step Labs in R for Teaching Data Mining

Teach data mining the hands-on way—with real code and real datasets. This structured workbook offers a complete lab sequence in R, guiding learners through clustering, classification, and association techniques using beginner-friendly syntax and scaffolding.

This TPT instructor edition is provided as a low-cost, watermarked PDF for individual educator use only. It pairs with the core textbook Data Rookies: Data Mining Basics and is ideal for teachers planning coding-based analytics courses.

Labs cover how to:

  • Explore, clean, and normalize real data
  • Build clusters and decision trees
  • Use base R and Tidy verse functions
  • Model association rules
  • Analyze and interpret mining results

Who It’s For:

  • High school AP Stats, dual-credit, or intro data science classes
  • College instructors seeking an R-based path
  • Educators preparing students for data careers

Pair this with:

  • Data Rookies: Data Mining Basics (textbook – also on TPT)
  • Data Rookies Labs: Data Mining with Orange for no-code alternatives

Preview available. View sample labs before purchase.

Now part of the complete Data Mining Curriculum Bundle, available in our TPT store.

Licensing and Access Info:

  • For individual instructor use only, not for student distribution
  • Watermarked and not for upload to LMS or shared drives
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.

Data Rookies Labs: Data Mining with R -Instructor PDF edition

Data Analytics Curriculum
13 Followers
$10.00

Highlights

Digital downloads
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Grades
9th - 12th, Adult Education, Higher Education

Description

*********************'************************************************************

Please review the product preview accessible on this page for detailed info about this curriculum and book

*********************************************************************************


Data Rookies Labs: Data Mining with R – Instructor Edition

TPT Exclusive PDF Workbook | Step-by-Step Labs in R for Teaching Data Mining

Teach data mining the hands-on way—with real code and real datasets. This structured workbook offers a complete lab sequence in R, guiding learners through clustering, classification, and association techniques using beginner-friendly syntax and scaffolding.

This TPT instructor edition is provided as a low-cost, watermarked PDF for individual educator use only. It pairs with the core textbook Data Rookies: Data Mining Basics and is ideal for teachers planning coding-based analytics courses.

Labs cover how to:

  • Explore, clean, and normalize real data
  • Build clusters and decision trees
  • Use base R and Tidy verse functions
  • Model association rules
  • Analyze and interpret mining results

Who It’s For:

  • High school AP Stats, dual-credit, or intro data science classes
  • College instructors seeking an R-based path
  • Educators preparing students for data careers

Pair this with:

  • Data Rookies: Data Mining Basics (textbook – also on TPT)
  • Data Rookies Labs: Data Mining with Orange for no-code alternatives

Preview available. View sample labs before purchase.

Now part of the complete Data Mining Curriculum Bundle, available in our TPT store.

Licensing and Access Info:

  • For individual instructor use only, not for student distribution
  • Watermarked and not for upload to LMS or shared drives
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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