Learning from data in order to gain useful predictions and insights. This first iteration of the course introduces five key facets of an investigation: data wrangling, cleaning, and sampling to get a suitable data set; data management to be able to access big data quickly and reliably; exploratory data analysis to generate hypotheses and intuition; prediction based on statistical methods such as regression and classification; and communication of results through visualization, stories, and interpretable summaries.
Python was used for all programming assignments and projects.
Instructors
Please find all material linked on this webpage.
Python was used for all programming assignments and projects.
Instructors
- Joe Blitzstein, Statistics
- Hanspeter Pfister, Computer Science
- Verena Kaynig-Fittkau, Computer Science
- Rahul Dave, Head TF
Please find all material linked on this webpage.