Introduction to Data Science Daily Overview: Unit 1

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	24
	2	Lesson 2: Stick Figures		Organizing & collecting data	26
	3	Lesson 3: Data Structures		Organizing data, rows & columns, variables	28
	4	Lesson 4: The Data Cycle		Data cycle, statistical investigative questions	30
	5	Lesson 5: So Many Questions		Statistical investigative questions, variability	35
	6	Lesson 6: What Do I Eat?	Food Habits	Data cycle, collecting data	39
	7^	Lesson 7: Setting the Stage	Food Habits – data	Participatory sensing	42
Visualizing Data (14 days)	8	Lesson 8: Tangible Plots	Food Habits – data	Dotplots, minimum/maximum, frequency	48
	9	Lesson 9: What Is Typical?	Food Habits – data	Typical value, center	52
	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	79
	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	89
	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	99
	25	Lesson 17: Interpreting Two-Way Tables	Time Use – data	Marginal & conditional relative frequencies	101
	26+	Lab 1G: What’s the FREQ?	Time Use – data	2-way tables, tally	106
	27	Practicum: Teen Depression	Time Use	Statistical investigative question, interpreting plots	109
	28	Practicum Presentations		Statistical investigative question, interpreting plots	-
	29-30	Lab 1H: Our Time		Data cycle, synthesis	111
Unit 1 Project (5 Days)	31-35	End of Unit Project and Presentation: Analyzing Data to Evaluate Claims		Data cycle	112

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