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Syllabus
Syllabus
Course content
Module 1 - Principles
Week 1 - Principles 1
Week 2 - Principles 2
Week 3 - Good and bad visualizations
Module 2 - Coding fundamentals
Week 4 - R Markdown
Week 5 - Wrangling
Week 6 - ggplot101
Week 7 - ggplot102
Module 3 - Data exploration
Week 8 - Data distributions
Week 9 - Correlations
Week 10 - Adding statistics
Module 4 - Putting it together
Week 12 - Manhattan plots and multi-plotting
Week 13 - Principal components analysis
Week 14 - Leftovers
Week 15 - Interactive plots
Recitations
Module 2 - Coding fundamentals
Week 4 - R Markdown
Week 5 - Wrangling
Week 6 - ggplot101
Week 7 - ggplot102
Module 3 - Data exploration
Week 8 - Data distributions
Week 9 - Correlations
Week 10 - Adding statistics
Module 4 - Putting it together
Week 11 - Manhattan plots and multi-plotting
Week 13 - Principal components analysis
Week 14 - Leftovers
Week 15 - Interactive plots
Assignments
Module assignments
Module 1
Module 2
Module 3
Reflections
Reflection instructions
Recitations
Recitation instructions
Capstone assignment
Capstone instructions
Solutions
Module assignment solutions
Module 2 solutions
Recitation solutions
Week 4 - R Markdown solutions
Week 5 - Wrangling solutions
Week 6 - ggplot101 solutions
Week 7 - ggplot102 solutions
Week 8 - Data distributions solutions
Week 9 - Correlations solutions
Week 10 - Adding statistics solutions
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