Principles and Techniquesof Data Analytics I (QS 3500 00)

Term: 2025-26 Fall

Faculty

Andrew M Malec
Email address is hidden, click here to email

Description

In this course, students will learn how Data Analytics combine data, computation and inferential thinking to solve challenging problems and understanding their intricacies. This class examines key principles and techniques of data science, and teaches students how to create informative data visualizations. It also explores particular concepts of linear algebra, which are central to Data Science. Prerequisites: QS 2500 and QS 2610.