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Data Management and Statistical Computing - BCA804
The aim of this unit is to introduce students to essential concepts and tools required for the management and analysis of data using modern statistical software. Data management principles and concepts are developed using relational database software (Microsoft Access). Data manipulation, descriptive analyses and interpretation are introduced using SAS and Stata statistical software. Students will also acquire skills in data display, summary presentation and pattern recognition using these tools. The unit will be built around: primary data to address specific questions (health survey, clinical trial); routinely-collected data (hospital in-patient data); process monitoring over time (quality monitoring, infection control).
| Credit Points: | 4 |
| When Offered: | X1 - External study; Offered in Session 1 X2 - External study; Offered in Session 2 |
| Staff Contact(s): | Associate Professor Gillian Heller |
| Prerequisites: |
Admission to MBiostat or PGDipBiostat or PGCertBiostat |
| Corequisites: | |
| NCCW(s): | |
| Unit Designation(s): | |
| Assessed As: | Graded |
| Offered By: | Department of Statistics Faculty of Science |
Timetable Information
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