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. Prerequisite: MET CS 521 or equivalent. Or, instructor's consent.
FALL 2023 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A1 |
Pinsky |
CAS 216 |
M 6:00 pm-8:45 pm |
|
FALL 2023 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A2 |
Enxing |
CAS 426 |
T 6:00 pm-8:45 pm |
|
FALL 2023 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A3 |
Pinsky |
CAS 216 |
W 6:00 pm-8:45 pm |
|
FALL 2023 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
O2 |
Liu |
ROOM |
ARR TBD-TBD |
On-line course |
SPRG 2024 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A1 |
Pinsky |
CAS 226 |
R 8:00 am-10:45 am |
|
SPRG 2024 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A2 |
Pinsky |
CAS 216 |
T 6:00 pm-8:45 pm |
|
SPRG 2024 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
O2 |
Enxing |
ROOM |
ARR TBD-TBD |
On-line course |
Note: this course was also offered during Summer Term
Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.