Data Management and Analytics Using SAS
Duration
- One Semester or equivalent
Contact hours
- 3 Hours per Week
On-campus unit delivery combines face-to-face and digital learning. For Online unit delivery, learning is conducted exclusively online.
Corequisites
NilAims and objectives
Students who successfully complete this unit will be able to:
1. Demonstrate professionally-relevant SAS programming and data management skills.
2. Write SAS programs to enter, load, and merge different types of data from multiple sources.
3. Visualise data graphically using SAS graphical procedures.
4. Summarise data and perform descriptive statistical analyses using SAS procedures.
5. Conduct parametric and non-parametric analysis of variance for balanced and unbalanced study designs using SAS and interpret the results.
6. Perform linear regression analysis using SAS and interpret the results.
7. Analyse data using generalised linear model (GLM) techniques using SAS.
Courses with unit
Unit information in detail
- Teaching methods, assessment, general skills outcomes and content.
Teaching methods
2020
This unit involves up to 150 hours of work including:
| Type (On-campus) | Hours per week | Number of Weeks | Total |
| Face to Face Contact Lectures/Laboratories/Seminars | 3 | 12 | 36 |
| Online Contact | N/A | ||
| Specified Learning Activities Discussion boards, watching Lecture recording, readings, quizzes & assessments. | 2 | 12 | 24 |
| Unspecified Learning Activities Independent study, assignment preparation, revision | Recommended | 90 | |
| TOTAL | 150 hours/12.5cp |
| Type (Hawthorn Online / OUA) | Hours per week | Number of Weeks | Total |
| Face to Face Contact | N/A | ||
| Online Contact Collaborate Sessions | 1 | 6 | 6 |
| Specified Learning Activities Discussion boards, watching Lecture recording, readings, quizzes & assessments. | 3 | 12 | 36 |
| Unspecified Learning Activities Independent study, assignment preparation, revision | Recommended | 108 | |
| TOTAL | 150 hours/12.5cp |
Assessment
| Types | Individual or Group task | Weighting | Assesses attainment of these ULOs |
| Examination | Individual | 50% | 4, 5, 6, 7 |
| Online Quizzes (10) | Individual | 10% | 1, 2, 4 |
| Assignment | Individual | 40% | 2, 3, 4, 5, 6 |
General skills outcomes
• Analysis Skills
• Problem Solving Skills
• Communication Skills
• Ability to tackle unfamiliar problems
• Ability to work independently
Content
• Inputting temporary and permanent SAS datasets.
• Data Manipulation and transformation including date variables.
• Data Summaries and Graphics: PROC FREQ, PROC MEANS, PROC TABULATE, PROC SQL and, PROC SGPLOT.
• Statistical Analysis for group comparisons: PROC UNIVARIATE, PROC TTEST, PROC ANOVA, PROC GLM and PROC NPAR1WAY.
• Linear regression: PROC CORR, PROC REG.
• Generalised linear models.
Study resources
- Reading materials.