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.
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
- Salma Abdel Magid (Head TF)
- Brian Chu