As a course tutor, I spent 8 hours per week assisting the professor at lectures, teaching in self-led office hours and homework parties, answering questions in the online discussion forum, providing feedback on pedagogical methods, and analyzing student data.

For more information, visit the course website.

Course Topics

Coding

• R expressions, data types, vectors, data frames
• Using RStudio
• Histograms and data visualizations

Statistics

• Probability (expectation, variance, calculating chances)
• Sampling, bootstrapping, and A/B testing
• Confidence intervals
• Hypothesis testing
• Simple and multiple linear regression, least squares
• Determining causality