All Courses > DANA > DANA 4810
Predictive analytics is a process of using and applying statistical analysis techniques for estimation and forecasting. Students learn standard methodology for analyzing quantitative data, including analysis of variance, design of experiments, simple regression, multiple regression, data transformation, and generalized linear models.
Registration in this course is restricted to students admitted to the Post-Degree Diploma in Data Analytics and Post-Degree Certificate in Data Analytics.
Prerequisite(s): A passing mark from Data Analytics Math Assessment Test or an "S" grade in MATH 4801; and a minimum "C" grade in DANA 4800.
Credits:
3.0
Additional Fees:
$33.65
Repeat Limit:
2
Lecture Hours:
3.0
Seminar Hours:
0.0
Lab Hours:
1.0
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 | 10129 | 001 | 21 | -T-R--- | 1430-1620 | A322 | Lecture | Azadeh Alimadad |
Semester | Seats | Waitlist | Days | Time | Room | Type | Instructor |
---|---|---|---|---|---|---|---|
2024 30 | 9 | -T-R--- | 1430-1620 | B152 | Lecture | Azadeh Alimadad | |
--W---- | 1830-2125 | B152 | Exam | Azadeh Alimadad | |||
2024 20 | 4 | ---R--- | 1230-1420 | B010 | Lecture | Nooshin Lary | |
--W---- | 1630-1820 | B022 | Lecture | Nooshin Lary | |||
--W---- | 1830-2125 | B010 | Exam | Nooshin Lary | |||
2024 10 | 5 | M-W---- | 1030-1220 | B153 | Lecture | Azadeh Alimadad | |
M------ | 1830-2125 | B030 | Exam | Azadeh Alimadad | |||
2023 30 | 5 | M-W---- | 1430-1620 | A374 | Lecture | Azadeh Alimadad | |
-T----- | 1830-2125 | A374 | Exam | Azadeh Alimadad | |||
2023 20 | 10 | M-W---- | 1430-1620 | B153 | Lecture | Nooshin Lary | |
-T----- | 1830-2125 | B153 | Exam | Nooshin Lary | |||
2023 10 | 14 | -T-R--- | 1430-1620 | B023 | Lecture | Quynh Nguyen | |
-T----- | 1830-2125 | B023 | Exam | Quynh Nguyen | |||
2022 30 | 9 | -T-R--- | 1430-1620 | A215 | Lecture | Nooshin Lary | |
--W---- | 1830-2125 | A215 | Exam | Nooshin Lary | |||
2022 20 | 7 | -T-R--- | 1430-1620 | B029 | Lecture | Quynh Nguyen | |
-T----- | 1830-2125 | B029 | Exam | Quynh Nguyen | |||
2022 10 | 7 | -T-R--- | 1630-1820 | B031 | Lecture | Quynh Nguyen | |
--W---- | 1830-2125 | B031 | Exam | Quynh Nguyen | |||
2021 30 | 10 | -T-R--- | 1630-1820 | WWW | WWW | Quynh Nguyen | |
----F-- | 1830-2125 | WWW | Exam | Quynh Nguyen | |||
2021 20 | 4 | M-W---- | 1630-1820 | WWW | WWW | Quynh Nguyen | |
M------ | 1830-2125 | WWW | Exam | Quynh Nguyen | |||
2021 10 | 16 | M-W---- | 1830-2020 | WWW | WWW | Quynh Nguyen | |
--W---- | 1830-2125 | WWW | Exam | Quynh Nguyen | |||
2020 20 | 1 | M-W---- | 1830-2020 | WWW | WWW | Qi Wen | |
--W---- | 1830-2125 | WWW | Exam | Qi Wen | |||
2020 10 | 3 | M-W---- | 1830-2020 | B023 | Lecture | Qi Wen | |
M------ | 1830-2125 | B031 | Exam | Qi Wen | |||
2019 20 | 1 | M-W---- | 1830-2020 | B155 | Lecture | Nathaniel Payne | |
---R--- | 1830-2125 | B247 | Exam | Nathaniel Payne |