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Introduction to Data Science Curriculum
IDS_Curriculum
Introduction to Data Science Curriculum
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Table of Contents
Overview & Philosophy
Scope and Sequence
Unit1
Unit1
Daily Overview
Essential Concepts
Section 1
Section 1
Data Are All Around
Lesson 1: Data Trails
Lesson 2: Stick Figures
Lesson 3: Data Structures
Lesson 4: The Data Cycle
Lesson 5: So Many Questions
Lesson 6: What Do I Eat?
Lesson 7: Setting the Stage
Campaign Guidelines – Food Habits
Section 2
Section 2
Visualizing Data
Lesson 8: Tangible Plots
Lesson 9: What is Typical?
Lesson 10: Making Histograms
Lesson 11: What Shape Are You In?
Lesson 12: Exploring Food Habits
Lesson 13: RStudio Basics
Lab 1A - Data, Code & RStudio
Lab 1B: Get the Picture?
Lab 1C: Export, Upload, Import
Lesson 14: Variables, Variables, Variables
Lab 1D: Zooming Through Data
Lab 1E: What’s the Relationship?
Practicum: The Data Cycle & My Food Habits
Section 3
Section 3
Would You Look at the Time!
Lesson 15: Americans’ Time on Task
Campaign Guidelines – Time Use
Lab 1F: A Diamond in the Rough
Lesson 16: Categorical Associations
Lesson 17: Interpreting Two-Way Tables
Lab 1G: What’s the FREQ?
Practicum: Teen Depression
Lab 1H: Our Time
End of Unit Project and Oral Presentation: Analyzing Data to Evaluate Claims
Unit2
Unit2
Daily Overview
Essential Concepts
Section 1
Section 1
What is Your True Color?
Lesson 1: What is Your True Color?
Lesson 2: What Does Mean Mean?
Lesson 3: Median in the Middle
Lesson 4: How Far is it from Typical?
Lab 2A - All About Distributions
Lesson 5: Human Boxplots
Lesson 6: Face Off
Lesson 7: Plot Match
Lab 2B - Oh the Summaries ...
Practicum: The Summaries
Section 2
Section 2
How Likely is it?
Lesson 8: How Likely Is It?
Lesson 9: Bias Detective
Lesson 10: Marbles, Marbles…
Lab 2C - Which Song Plays Next?
Lesson 11: This AND/OR That
Lab 2D - Queue It Up!
Practicum: Win, Win, Win
Section 3
Section 3
What Are the Chances That You Are Stressing or Chilling?
Lesson 12: Don’t Take My Stress Away!
Campaign Guidelines – Stress/Chill
Lesson 13: The Horror Movie Shuffle
Lab 2E - The Horror Movie Shuffle
Lesson 14: The Titanic Shuffle
Lab 2F - The Titanic Shuffle
Lesson 15: Tangible Data Merging
Lab 2G - Getting It Together
Practicum: What Stresses Us?
Section 4
Section 4
What’s Normal?
Lesson 16: What Is Normal?
Lesson 17: A Normal Measure of Spread
Lesson 18: What’s Your Z-Score?
Lab 2H - Eyeballing Normal
Lab 2I - R’s Normal Distribution Alphabet
End of Unit Project: Asking and Answering Statistical Questions of Our Own Data
Unit3
Unit3
Daily Overview
Essential Concepts
Section 1
Section 1
Testing, Testing…1, 2, 3…
Lesson 1: Anecdotes vs. Data
Lesson 2: What Is an Experiment?
Lesson 3:Let’s Try an Experiment!
Lesson 4: Predictions, Predictions
Lesson 5: Time Perception Experiment
Lab 3A: The Results Are In!
Practicum: Music to my Ears
Section 2
Section 2
Would You Look at That?
Lesson 6: Observational Studies
Lesson 7: Observational Studies vs. Experiments
Lesson 8: Monsters That Hide in Observational Studies
Lab 3B: Confound It All!
Section 3
Section 3
Are You Asking Me?
Lesson 9: Survey Says…
Lesson 10: We’re So Random
Lesson 11: The Gettysburg Address
Lab 3C: Random Sampling
Lesson 12: Bias in Survey Sampling
Lesson 13: The Confidence Game
Lesson 14: How Confident Are You?
Lab 3D: Are You Sure about That?
Practicum: Let’s Build a Survey!
Section 4
Section 4
What’s the Trigger?
Lesson 15: Ready, Sense, Go!
Lesson 16: Does It Have a Trigger?
Lesson 17: Creating Our Own Participatory Sensing Campaign
Lesson 18: Evaluating Our Own Participatory Sensing Campaign
Lesson 19: Implementing Our Own Participatory Sensing Campaign
Section 5
Section 5
Webpages
Lesson 20: Online Data-ing
Lab 3E: Scraping Web Data
Lab 3F: Maps
Lesson 21: Learning to Love XML
Lesson 22: Changing Orientation
Practicum: What Does Our Campaign Data Say?
End of Unit Project: TB or Not TB
Unit4
Unit4
Daily Overview
Essential Concepts
Section 1
Section 1
Predictions and Models
Lesson 1: Water Usage
Lesson 2: Exploring Water Usage
Lesson 3: Evaluating and Implementing a Water Campaign
Lesson 4: Refining the Water Campaign
Lesson 5: Statistical Predictions Using One Variable
Lesson 6: Statistical Predictions by Applying the Rule
Lesson 7: Statistical Predictions Using Two Variables
LAB 4A: If the Line Fits…
LAB 4B: What’s the Score?
Lesson 8: What’s the Trend?
Lesson 9: Spaghetti Line
LAB 4C: Cross-Validation
Lesson 10: Predicting Values
Lesson 11: How Strong Is It?
LAB 4D: Interpreting Correlations
Section 2
Section 2
Piecing It Together
Lesson 12: More Variables to Make Better Predictions
Lesson 13: Combination of Variables
LAB 4E: This Model Is Big Enough for All of Us
Practicum: Predictions
Lesson 14: Improving your Model
LAB 4F: Some Models Have Curves
Section 3
Section 3
The Growth of Landfills
Lesson 15: The Growth of Landfills
Lesson 16: Exploring Trash Via the Dashboard
Lesson 17: Exploring Trash Via RStudio
Section 4
Section 4
Decisions, Decisions!
Lesson 18: Grow Your Own Decision Tree
Lesson 19: Data Scientists or Doctors?
LAB 4G: Growing Trees
Section 5
Section 5
Ties That Bind
Lesson 20: Where Do I Belong?
LAB 4H: Finding Clusters
Lesson 21: Our Class Network
End of Unit 3 and 4 Design Project and Oral Presentation: Water Usage
Vocabulary
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