| Call Number | 18133 |
|---|---|
| Day & Time Location |
T 4:40pm-7:10pm To be announced |
| 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 | 35 students (35 max) as of 4:05PM Saturday, December 21, 2024 |
| Status | Full |
| Subject | Engineering |
| Number | E4503 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Business |
| Note | Spring A Class |
| Section key | 20251ENGI4503E001 |