Data Management & Statistical Computing (POPH90018)
Graduate courseworkPoints: 12.5Online
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About this subject
Contact information
Semester 1
Melbourne School of Population and Global Health
OR
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Email: Contact Stop 1
Future Students:
- Further Information: MSPGH Website
- Email: Enquiry Form
Semester 2
Melbourne School of Population and Global Health
OR
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Email: Contact Stop 1
Future Students:
- Further Information: MSPGH Website
- Email: Enquiry Form
Overview
| Availability | Semester 1 - Online Semester 2 - Online |
|---|---|
| Fees | Look up fees |
The aim of this subject is to provide students with the knowledge and skills required to undertake moderate to high level data manipulation and management in preparation for statistical analysis of data typically arising in health and medical research.
Intended learning outcomes
Specific objectives are for students to:
- Gain experience in data manipulation and management using two major statistical software packages (Stata and SAS)
- Learn how to display and summarise data using statistical software
- Become familiar with the checking and cleaning of data
- Learn how to link files through use of unique and non-unique identifiers
- Acquire fundamental programming skills for efficient use of software packages
- Learn key principles regarding confidentiality and privacy in data storage, management and analysis
Generic skills
Independent problem solving, clarity of written expression, sound communication of technical concepts
Last updated: 3 November 2022