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

• Hanspeter Pfister
• Liberty Vittert

Course Sessions

Lectures & Labs: Tuesday and Thursday 1:30-2:45pm EST, Location: Virtual

First Class: Monday, January 26, 2021

Office Hours: Office hours are posted here.

Lecture Resources: Materials and grades on Canvas

Teaching Fellows

• Salma Abdel Magid (Head TF)
• Brian Chu