Data Science with Python
Data Science with Python
Prerequisite: (MET CS 521) or equivalent or instructor's consent. Students will learn major Python tools and techniques for data analysis. There are weekly assignments and mini projects on topics covered in class. These assignments will help build necessary statistical, visualization and other data science skills for effective use of data science in a variety of applications including finance, text processing, time series analysis and recommendation systems. In addition, students will choose a topic for a final project and present it on the last day of class.
2026SPRGMETCS577A1, Jan 20th to Apr 30th 2026
| Days | Start | End | Type | Bldg | Room |
|---|---|---|---|---|---|
| W | 06:00 PM | 08:45 PM | CAS | 313 |
2026SPRGMETCS577A2, Jan 20th to Apr 30th 2026
| Days | Start | End | Type | Bldg | Room |
|---|---|---|---|---|---|
| T | 06:00 PM | 08:45 PM | CAS | 502 |
2026SPRGMETCS577O2, Mar 10th to Apr 27th 2026
| Days | Start | End | Type | Bldg | Room |
|---|---|---|---|---|---|
| ARR | 12:00 AM | 12:00 AM |
Format & Syllabus
677 A2 FALL25677 SUM25 677 A1 SPRG25677 A2 SPRG25CS677 A1 FA24CS677 A2 FA24 CS677 A3 FA24CS677 A4 FA24 CS677 FALL2024 CS677A1 SP24 CS677A2 SP24CS677A1 SP23CS677A2 SP23CS677A1 FA22CS677A2 FA22CS677A3 FA22CS677A1 SP22CS677A2 SP22CS677 FALL21CS677A1SUM21CS677A1 FA20CS677A2 FA20CS677A2 SP20CS677A1 SP20CS677 FALL19CS677 FALL18