All Courses > DANA > DANA 4830
A core requirement in data analytics is the classification of a large group of records (items or objects) into different subgroups based on statistical criteria. The classification can be made easier if the number of dimensions of the data used is reduced. Students learn a number of techniques in reducing the number of dimensions in a data set without losing its latent structure. They also learn how to perform statistical classification into pre-defined groups. Topics include principal component analysis, factor analysis, multiple correspondence analysis, multivariate discriminant analysis, as well as stepwise techniques in regressions. Prerequisites: A minimum "C" grade in DANA 4810 and 4820.
Registration in this course is restricted to students admitted to the Post-Degree Diploma in Data Analytics and Post-Degree Certificate in Data Analytics.
Credits:
3.0
Additional Fees:
$33.65
Repeat Limit:
2
Lecture Hours:
4.0
Seminar Hours:
0.0
Lab Hours:
0.0
Offered online:
False
Course outline(s):
None
| 2AR | 2SC | HUM | LSC | SCI | SOC | UT |
|---|---|---|---|---|---|---|
| None | None | None | None | None | None | None |
No active transfer agreements found.
No inactive transfer agreements found.
| Semester | CRN | Section | Seats | Waitlist | Days | Time | Room | Type | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| 2025 10 | 10131 | 001 | 14 | M-W---- | 1430-1620 | A322 | Lecture | Quynh Nguyen |
| Semester | Seats | Waitlist | Days | Time | Room | Type | Instructor |
|---|---|---|---|---|---|---|---|
| 2024 30 | 4 | -T-R--- | 1630-1820 | B152 | Lecture | Jonathan Agyeman | |
| ----F-- | 1830-2125 | B152 | Exam | Jonathan Agyeman | |||
| 2024 20 | 6 | -T-R--- | 1430-1620 | B008 | Lecture | Quynh Nguyen | |
| ----F-- | 1830-2125 | B008 | Exam | Quynh Nguyen | |||
| 2024 10 | 6 | -T-R--- | 1830-2020 | B027 | Lecture | Jonathan Agyeman | |
| --W---- | 1830-2125 | B029 | Exam | Jonathan Agyeman | |||
| 2023 30 | 10 | -T-R--- | 1430-1620 | A272 | Lecture | Jonathan Agyeman | |
| ---R--- | 1830-2125 | A272 | Exam | Jonathan Agyeman | |||
| 2023 20 | 18 | M-W---- | 1630-1820 | B153 | Lecture | Quynh Nguyen | |
| M------ | 1830-2125 | B153 | Exam | Quynh Nguyen | |||
| 2023 10 | 9 | M-W---- | 1830-2020 | B010 | Lecture | Jonathan Agyeman | |
| ----F-- | 1830-2125 | B018 | Exam | Jonathan Agyeman | |||
| 2022 30 | 8 | -T-R--- | 1630-1820 | A276 | Lecture | Jonathan Agyeman | |
| ----F-- | 1830-2125 | B018 | Exam | Jonathan Agyeman | |||
| 2022 20 | 6 | -T-R--- | 1630-1820 | B153 | Lecture | Quynh Nguyen | |
| --W---- | 1830-2125 | B153 | Exam | Quynh Nguyen | |||
| 2022 10 | 6 | M-W---- | 1630-1820 | B252 | Lecture | Quynh Nguyen | |
| -T----- | 1830-2125 | B155 | Exam | Quynh Nguyen | |||
| 2021 30 | 13 | -T-R--- | 1430-1620 | B023 | Lecture | Quynh Nguyen | |
| M------ | 1830-2125 | B023 | Exam | Quynh Nguyen | |||
| 2021 20 | 8 | M-W---- | 1430-1620 | WWW | WWW | Quynh Nguyen | |
| ----F-- | 1830-2125 | WWW | Exam | Quynh Nguyen | |||
| 2020 30 | 4 | -T-R--- | 1630-1820 | WWW | WWW | Quynh Nguyen | |
| M------ | 1830-2125 | WWW | Exam | Quynh Nguyen | |||
| 2020 20 | 3 | -T-R--- | 1630-1820 | WWW | WWW | Quynh Nguyen | |
| -T----- | 1830-2125 | WWW | Exam | Quynh Nguyen | |||
| 2019 30 | 1 | -T-R--- | 1630-1820 | B022 | Lecture | Nathaniel Payne | |
| M------ | 1830-2125 | B022 | Exam | Nathaniel Payne |