| Call Number | 13730 |
|---|---|
| Day & Time Location |
W 2:40pm-5:10pm 430 Kravis Hall |
| Points | 1.5 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Uday Menon |
| 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 9:06PM Friday, May 9, 2025 |
| Subject | Engineering |
| Number | E4503 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Note | Spring B Class |
| Section key | 20241ENGI4503E001 |