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 |
|---|---|
| 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