Lectures

01 Introduction to Research
A simple tutorial to help you get up to speed in the research environment.
Workbook [Github] [HTML]

02 Introduction to Python
Some basic tools for working in the language.
Workbook [Github] [HTML]

03 Introduction to NumPy
How to use NumPy for computing on data.
Workbook [Github] [HTML]

04 Introduction to Pandas
An introduction to using pandas to manage and analyze your data.
Workbook [Github] [HTML] My Answers [Github] [HTML]
Exercises  [Github] [HTML] Answer Key [Github] [HTML]

05 Plotting Data
A brief primer.
Workbook [Github] [HTML] My Answers [Github] [HTML]
Exercises  [Github] [HTML] Answer Key [Github] [HTML]

06 Means
Measures of centrality.
Workbook [Github] [HTML] My Answers [Github] [HTML]
Exercises  [Github] [HTML] Answer Key [Github] [HTML]

07 Variance
Measures of dispersion.
Workbook [Github] [HTML] My Answers [Github] [HTML]
Exercises  [Github] [HTML] Answer Key [Github] [HTML]

08 Statistical Moments
Ways to think about distributions.
Workbook [Github] [HTML] My Answers [Github] [HTML]
Exercises  [Github] [HTML] Answer Key [Github] [HTML]

09 Linear Correlation Analysis
A basic primer on correlation and how it relates to variance.
Workbook [Github] [HTML] My Answers [Github] [HTML]
Exercises  [Github] [HTML] Answer Key [Github] [HTML]

10 Instability of Estimates
Theory and sample use cases.
Workbook [Github] [HTML] My Answers [Github] [HTML]
Exercises  [Github] [HTML] Answer Key [Github] [HTML]