This paper introduces students to the R programming language which is used to investigate a collection of real data sets. Analysis of variance, multiple regression, non parametric methods and time series are covered.
Paper Information
Points: | 15.0 |
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Prerequisite(s): | STATS111, STATS121, DATAX111 or DATAX121; or minimum B grade in ENGEN102, or B- or higher in CSMAX101, or with the permission of the Head of Department. |
Internal assessment / examination: | 50:50 |
Trimesters and Locations
Occurrence Code | When taught | Where taught |
---|---|---|
23A (HAM) | A Trimester : 27 Feb 2023 - 25 Jun 2023 | Hamilton |
Timetabled Lectures for Statistical Data Analysis (DATAX221)
Day | Start | End | Room | Dates |
---|---|---|---|---|
Tue | 9:00 AM | 11:00 AM | S.G.03 | Feb 27 - Jun 4 |
Wed | 10:00 AM | 11:00 AM | K.G.11 | Feb 27 - Jun 4 |
NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for DATAX221 for more details
Indicative Fees for Statistical Data Analysis (DATAX221)
Occurrence | Domestic | International | |
---|---|---|---|
Tuition | Resource | ||
23A (HAM) | $824 | $3503 |
Paper Outlines
Paper outlines are currently not available for this paper. Please contact the Faculty or School office for further details.
Additional Information
Available Subjects: Data Analytics | Geographic Information Systems | Mathematics | Statistics | Software Engineering
Paper details current as of : 23 January 2023 7:25pm
Indicative fees current as of : 28 January 2023 4:30am