Introduction to Data Science Daily Overview: Unit 1

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Unit 1

Daily Overview: Unit 1

Theme Day Lessons and Labs Campaign Topics Page
Data Are
All Around
(7 days)
1 Lesson 1: Data Trails Defining data, consumer privacy 27
2 Lesson 2: Stick Figures Organizing & collecting data 29
3 Lesson 3: Data Structures Organizing data, rows & columns, variables 31
4 Lesson 4: The Data Cycle Data cycle, statistical questions 34
5 Lesson 5: So Many Questions Statistical questions, variability 38
6^ Lesson 6: What Do I Eat? Food Habits Collecting data, statistical questions 40
7 Lesson 7: Setting the Stage Food Habits – data Participatory sensing 43
Visualizing
Data
(14 days)
8 Lesson 8: Tangible Plots Food Habits – data Dotplots, minimum/maximum,
frequency
49
9 Lesson 9: What Is Typical? Food Habits – data Typical value, center 53
10 Lesson 10: Making Histograms Food Habits – data Histograms, bin widths 55
11 Lesson 11: What Shape Are You In? Food Habits – data Shape, center, spread 58
12 Lesson 12: Exploring Food Habits Food Habits – data Single & multi-variable plots 60
13 Lesson 13: RStudio Basics Food Habits – data Intro to RStudio 62
14 Lab 1A: Data, Code & RStudio Food Habits – data RStudio basics 65
15+ Lab 1B: Get the Picture? Food Habits – data Variable types, bar graphs,
histograms
68
16 Lab 1C: Export, Upload, Import Importing data 71
17 Lesson 14: Variables, Variables, Variables Multi-variable plots 75
18 Lab 1D: Zooming Through Data Subsetting 80
19 Lab 1E: What’s the Relationship? Multi-variable plots 83
20 Practicum: The Data Cycle & My Food Habits Food Habits Data cycle, variability 86
21 Practicum Presentations Food Habits Data cycle, variability -
Would
You Look
at the
Time?
(9 Days)
22^ Lesson 15: Americans’ Time on Task Time Use – data Evaluating claims 90
23 Lab 1F: A Diamond In the Rough Time Use – data Cleaning names, categories, and strings 94
24 Lesson 16: Categorical Associations Time Use – data Joint relative frequencies in 2- way tables 98
25 Lesson 17: Interpreting Two-Way Tables Time Use – data Marginal & conditional relative frequencies 100
26+ Lab 1G: What’s the FREQ? Time Use – data 2-way tables, tally 105
27 Practicum: Teen Depression Time Use Statistical questions, interpreting plots 107
28 Practicum Presentations
Statistical questions, interpreting plots -
29-30 Lab 1H: Our Time Data cycle, synthesis 109
Unit 1
Project
(5 Days)
31-35 End of Unit Project and Oral Presentation: Analyzing Data to Evaluate Claims Data cycle 110

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