| Call Number | 17673 |
|---|---|
| Day & Time Location |
M 4:10pm-6:40pm 327 Seeley W. Mudd Building |
| Points | 1.5 |
| Grading Mode | Standard |
| Approvals Required | None |
| 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 9:14PM Wednesday, November 20, 2024 |
| Subject | Engineering |
| Number | E4503 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Section key | 20243ENGI4503E001 |