Teach Data Mining Without Code – Everything You Need, Ready to Go

No programming. No prep. No guesswork.

*** SEE PREVIEW FOR DETAILS ABOUT THIS PROGRAM (ABOVE) ***

Note this is for the LAB EXERCISE portion of the curriculum which may be used with or independently of the content textbook. (details in preview)

This all-in-one, ready-to-teach bundle gives you everything you need to deliver a complete data mining curriculum using Orange, a free, visual data analysis platform built for beginners (works on any computer system).

Aligned with the Data Rookies Labs: Data Mining with Orange lab workbook - copy is included for teacher's edition - this resource set equips you with:

• Structured, step-by-step labs using drag-and-drop workflows
  
• Editable student worksheets aligned to each lab activity
  
• Fully built teaching slides to teach with
  

From clustering and classification to association analysis, your students will explore real datasets, build data science workflows, and gain in-demand skills—all without writing a single line of code.

Perfect for high school, college, homeschool, or workforce programs, this bundle makes it simple to bring hands-on, modern data science into any classroom.

What’s Included

Main Lab Workbook (PDF) - Data Rookies Labs: Data Mining with Orange

PDF instructor edition

• 11 beginner-friendly, no-code labs using Orange
  
• Covers clustering, classification, dimensionality reduction, and more
  
• Built around real-world datasets and visual tools
  

Editable Student Worksheets (DOCX)

• 11 worksheets aligned to each lab
  
• Clear, fillable question sets for guided student work
  
• Perfect for digital or print use
  
• Includes an instructor answer key (PDF)
  

Visual Teaching Slides (PPTX)

• 11 editable slide decks (236 slides total)
  
• Designed to demonstrate workflows step by step
  
• Includes tool screenshots, widget examples, and results interpretation
  

Topics Covered

• Exploring and preprocessing data
  
• Data normalization
  
• Principal Components Analysis (PCA)
  
• Measuring distance and similarity
  
• Hierarchical clustering
  
• K-Means clustering
  
• Logistic regression
  
• Decision trees
  
• k-Nearest Neighbors (KNN)
  
• Association rule mining
  
• Pattern discovery in real-world data
  

Why This Bundle Works

• Requires zero coding experience
  
• Everything is done-for-you and ready to assign
  
• Ideal for in-person, remote, or hybrid teaching
  
• Saves prep time while delivering hands-on, high-impact learning
  
• Designed for students, instructors, and visual learners alike
  

Who It’s For

• High school and college instructors teaching AI, data science, or CTE
  
• Educators seeking a visual, approachable way to teach data mining
  
• Independent learners and homeschoolers
  
• Anyone who wants to explore modern data science without programming
  

Keywords
data mining, Orange software, beginner AI tools, editable worksheets, drag-and-drop data workflows, visual machine learning, no-code analytics, clustering, classification, association rules, PCA, high school data science, Google Slides compatible, Orange teaching slide