Data science is about using data, analytics, and algorithms to gain insights and make useful predictions. This course will take a holistic approach to helping students understand the key factors involved, from data collection and exploratory data analysis to modeling, communication, and effective teamwork. Case studies will provide students with hands-on experience with the data science process. Emphasis will be on merging analytical skills with critical thinking. The course counts towards the Gen Ed ‘Quantitative Reasoning’ requirement.

Instructors

• Joseph Blitzstein
• Xiao-Li Meng
• Hanspeter Pfister
• Liberty Vittert

Course Sessions

Lectures & Labs: Monday, Wednesday, and Friday 3:00-4:15pm, Location: Maxwell-Dworkin G115

First Class: Monday, January 27, 2020

Office Hours: Office hours are posted here.

Lecture Resources: Materials and grades on Canvas

Teaching Fellows

• Salma Abuayyash (Head TF)
• Robert Haussman (Head TF)
• Salma Abdel Magid
• Laura Chapman
• Brian Chu
• Zach Dietz
• Ben Levy
• Wen Rui Liau
• Zhao (“Jao”) Lyu
• Aditya Ranganathan
• Rylan Schaeffer
• Theo Walker
• Catherine Wu