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.
FALL 2026 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A2 |
Mohan |
EPC 206 |
R 6:00 pm-8:45 pm |
Formerly MET CS 677 |
FALL 2026 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| A4 |
Pinsky |
STH 113 |
T 9:00 am-11:45 am |
Formerly MET CS 677 |
FALL 2026 Schedule
| Section |
Instructor |
Location |
Schedule |
Notes |
| O2 |
Mohan |
|
ARR 12:00 am-12:00 am |
Formerly MET CS 677
Students are assigned to class sections of about 20 with a member of the teaching team.
Student visa holders must contact their advisor for approval before registering for any online class. |
Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.
