| Call Number | 11490 |
|---|---|
| Day & Time Location |
TR 2:40pm-3:55pm 303 Seeley W. Mudd Building |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Uday Menon |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | IEOR students only; priority to MSBA students. Survey tools available in Python for getting, cleaning, and analyzing data. Obtain data from files (csv, html, json, xml) and databases (Mysql, PostgreSQL, NoSQL), cover the rudiments of data cleaning, and examine data analysis, machine learning, and data visualization packages (NumPy, pandas, Scikit-lern, bokeh) available in Python. Brief overview of natural language processing, network analysis, and big data tools available in Python. Contains a group project component that will require students to gather, store, and analyze a data set of their choosing. |
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 44 students (60 max) as of 9:06PM Friday, April 19, 2024 |
| Subject | Industrial Engineering and Operations Research |
| Number | E4523 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Engineering:Graduate |
| Campus | Morningside |
| Section key | 20231IEOR4523E001 |