Fall 2025 Engineering E4503 section 001

Analytics in Python

Call Number 18172
Day & Time
Location
MTWR 1:00pm-5:30pm
To be announced
Points 0
Grading Mode Standard
Approvals Required None
Instructor Julian H Berman
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 0 students (40 max) as of 1:06PM Wednesday, August 13, 2025
Subject Engineering
Number E4503
Section 001
Division School of Engineering and Applied Science: Graduate
Section key 20253ENGI4503E001