Spring 2025 Engineering E4503 section 001

Analytics in Python

Call Number 18133
Day & Time
Location
T 4:40pm-7:10pm
424 Pupin Laboratories
Points 1.5
Grading Mode Standard
Approvals Required None
Instructor Elizabeth M Strauss
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).

Web Site Vergil
Department Engineering
Enrollment 26 students (35 max) as of 9:06AM Monday, February 10, 2025
Subject Engineering
Number E4503
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Business
Note Spring A Class meets 1/28-3/11. Enrollment is open only to M
Section key 20251ENGI4503E001