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DANA 4800: Data Analysis and Statistical Inference

Course FormatLecture 3.0 h + Seminar 0.0 h + Lab 1.0 h
Credits3.0

Statistical inference is the process of drawing conclusions from data. Students gain a foundation in probability, descriptive statistics, sampling methods, normal distributions, Poisson distributions, and sampling distributions, as well as one-sample and two-sample statistical inference procedures on both proportions and means (including z and t).

Registration in this course is restricted to students admitted to the Post-Degree Diploma in Data Analytics and Post-Degree Certificate in Data Analytics.


Course Attributes:
2nd Year Arts
2nd Year Science
Humanities
Lab Science
Science
Social Science
University
Transferable
Other Attributes:
Offered online:No
Preparatory course:No
Repeat limit2
Additional fees:$34.3
First offered:Spring 2019
Last offered:Fall 2025
Registration
restrictions:		R
Outline(s):

DANA 4800 - Summer 2019 (v. 2)

Transfer Agreements
CourseDestinationCreditStart to End
No active transfer agreements.
Inactive Transfer Agreements (click to open)
CourseDestinationCreditStart to End
No inactive transfer agreements.

Offerings of this course:

SemesterCRNSectionSeatsWaitlistDaysTimeRoomTypeInstructor
Fall 20253080300133N/A-T-R---1430-1620A374LectureMichael Lo
Summer 20252028700118 -T-R---1430-1620B029Lecture. TBA
Spring 20251012800118 -T-R---1430-1620A320LectureQuynh Nguyen
-T-----1430-1620A320LectureQuynh Nguyen
---R---1430-1620A366LectureQuynh Nguyen
-----S-0900-1155B022ExamQuynh Nguyen
Fall 20243046500113 -T-R---1430-1620A272LectureMichael Lo
---R---1830-2125A272ExamMichael Lo
Summer 2024207050018 -T-R---1630-1820B008LectureQuynh Nguyen
--W----1830-2125B008ExamQuynh Nguyen
Spring 2024109920014 -T-R---1230-1420A363BLectureQuynh Nguyen
-T-----1830-2125B027ExamQuynh Nguyen
Fall 2023303550015 -T-R---1630-1820B026LectureJonathan Agyeman
-T-R---1630-1820A276LectureJonathan Agyeman
--W----1830-2125A276ExamJonathan Agyeman
Summer 2023205770019 -T-R---1630-1820B152LectureQuynh Nguyen
---R---1830-2125B152ExamQuynh Nguyen
Spring 2023108430012 M-W----1630-1820B023LectureJonathan Agyeman
-T-----1830-2125B018ExamJonathan Agyeman
Fall 20223066700111 M-W----1630-1820A363CLectureJonathan Agyeman
M------1830-2125A215ExamJonathan Agyeman
Summer 2022204650018 M-W----1630-1820B153LectureQuynh Nguyen
---R---1830-2125B032ExamQuynh Nguyen
Spring 2022110570017 -T-R---1430-1620A218LectureQuynh Nguyen
M------1830-2125A218ExamQuynh Nguyen
Fall 202130167W017 M-W----1430-1620WWWWWWQuynh Nguyen
---R---1830-2125WWWExamQuynh Nguyen
Summer 202120569W018 -T-R---1630-1820WWWWWWQuynh Nguyen
--W----1830-2125WWWExamQuynh Nguyen
Spring 202110941W0114 -T-R---1630-1820WWWWWWQuynh Nguyen
M------1830-2125WWWExamQuynh Nguyen
Fall 202031537W0110 M-W----1630-1820WWWWWWQuynh Nguyen
--W----1830-2125WWWExamQuynh Nguyen
Spring 2020114940012 -T-R---1630-1820B031LectureQi Wen
--W----1830-2125B031ExamQi Wen
Fall 2019311630012 -T-R---1630-1820B031LectureSharen Dhami
--W----1830-2125B031ExamSharen Dhami
Spring 2019111340011 -T-R---1630-1820A218LectureSharen Dhami
-T-----1830-2125A218ExamSharen Dhami