Fall 2026 Engineering E4503 section 001

Analytics in Python

Call Number 16767
Day, Time & Location View Class Schedule & Location in Vergil
Points 0
Grading Mode Standard
Approvals Required None
Instructors Julian H Berman
Ryan Day
Type LECTURE
Method of Instruction In-Person
Course Description

Intended to build familiarity with using Python for ingesting, analyzing, visualizing, and interpreting data. Includes data ingesting techniques, using libraries (pandas and numpy), data analytics, machine learning (using SciKit-Learn), visualization, and big data analytics (Spark).

Department Engineering
Enrollment 0 students (55 max) as of 9:06PM Tuesday, June 23, 2026
Subject Engineering
Number E4503
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Business
Section key 20263ENGI4503E001