Data 8: Foundations of Data Science (Summer 2020)
Instructor, UC Berkeley, Division of Computing, Data Science, and Society, 2020
Course Content: Python Programming, Data Visualization, Conditional Probability, Hypothesis Testing, Permutation Testing, Bootstrap Sampling, Linear Regression, Classification
In Summer 2020 I was a co-instructor for Data 8, the first course in the data science sequence at UC Berkeley. The course enrolled 450 students from nearly every department on campus. Due to the COVID-19 pandemic, the course was held entirely online through both synchronous and asynchronous sessions.
As co-instructor, I:
- Lectured on topics relating to python programming, statistical inference, and machine learning
- Developed a lecture series on human contexts and ethics in data science, to illustrate the prevalence of data science in current events and encourage students to critically analyze widespread predictive algorithms
- Co-authored a data exploration final project that assessed knowledge of the data science lifecycle through student-directed analyses
- Managed a course staff of 15 teaching assistants and 15 group tutors