All Courses > DANA > DANA 4820
Predictive Analytics is a process of using and applying statistical analysis techniques for estimation and forecasting. Students learn standard methodology for analyzing categorical data including chi-square tests for two-way and multi-way contingency tables, logistic regression, and Poisson regression.
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 | 10130 | 001 | 21 | M-W---- | 1430-1620 | A320 | Lecture | Jonathan Agyeman |
| Semester | Seats | Waitlist | Days | Time | Room | Type | Instructor |
|---|---|---|---|---|---|---|---|
| 2024 30 | 8 | M-W---- | 1430-1620 | B252 | Lecture | Nooshin Lary | |
| M------ | 1830-2125 | B252 | Exam | Nooshin Lary | |||
| 2024 20 | 4 | -T----- | 1230-1420 | B010 | Lecture | Nooshin Lary | |
| --W---- | 1430-1620 | B008 | Lecture | Nooshin Lary | |||
| ---R--- | 1830-2125 | B008 | Exam | Nooshin Lary | |||
| 2024 10 | 4 | M-W---- | 1430-1620 | A314 | Lecture | Jonathan Agyeman | |
| -T----- | 1830-2125 | B031 | Exam | Jonathan Agyeman | |||
| 2023 30 | 8 | -T-R--- | 1630-1820 | A347 | Lecture | Nooshin Lary | |
| ---R--- | 1830-2125 | A347 | Exam | Nooshin Lary | |||
| 2023 20 | 9 | M-W---- | 1630-1820 | B008 | Lecture | Nooshin Lary | |
| ---R--- | 1830-2125 | B008 | Exam | Nooshin Lary | |||
| 2023 10 | 15 | M-W---- | 1630-1820 | B029 | Lecture | Azadeh Alimadad | |
| M------ | 1830-2125 | B029 | Exam | Azadeh Alimadad | |||
| 2022 30 | 8 | M-W---- | 1630-1820 | A276 | Lecture | Azadeh Alimadad | |
| M------ | 1830-2125 | A218 | Exam | Azadeh Alimadad | |||
| 2022 20 | 5 | M-W---- | 1430-1620 | B155 | Lecture | Azadeh Alimadad | |
| M------ | 1830-2125 | B155 | Exam | Azadeh Alimadad | |||
| 2022 10 | 12 | M-W---- | 1830-2020 | T530 | Lecture | Azadeh Alimadad | |
| ----F-- | 1830-2125 | T530 | Exam | Azadeh Alimadad | |||
| 2021 30 | 13 | M-W---- | 1630-1820 | B023 | Lecture | Azadeh Alimadad | |
| --W---- | 1830-2125 | B023 | Exam | Azadeh Alimadad | |||
| 2021 20 | 8 | -T-R--- | 1630-1820 | WWW | WWW | Azadeh Alimadad | |
| --W---- | 1830-2125 | WWW | Exam | Azadeh Alimadad | |||
| 2020 30 | 4 | M-W---- | 1830-2020 | WWW | WWW | Azadeh Alimadad | |
| --W---- | 1830-2125 | WWW | Exam | Azadeh Alimadad | |||
| 2020 20 | 1 | M-W---- | 1830-2020 | WWW | WWW | Azadeh Alimadad | |
| --W---- | 1830-2125 | WWW | Exam | Azadeh Alimadad | |||
| 2019 30 | 1 | M-W---- | 1630-1820 | A210 | Lecture | Yew-Wei Lim | |
| ----F-- | 1830-2125 | A272 | Exam | Yew-Wei Lim |