James Cook University Subject Handbook - 2020

MA5821 - Visual Analytics for Data Scientists using SAS

Subject Description

This subject will introduce students to practical applications and concepts involved in advanced statistical modelling in SAS. Topics include: linear modelling with multiple predictor variables that may be continuous or categorical in nature; Conditional Probability and the odds ratio; drawing inferences; checking model diagnostics and model selection; techniques for coping with data that are temporally or spatially correlated.

Learning Outcomes

• demonstrate sound knowledge of the basic principles and theories that underpin advanced statistical modelling methods
• effectively integrate and execute advanced statistical modelling theories and processes in SAS software to solve authentic problems
• retrieve, analyse, synthesise and evaluate outputs produced using advanced statistical modelling methods in SAS software
• engage effectively with others to critically examine different approaches to advanced statistical problems

Subject Assessment

• Invigilated > Quizzes or tests - (20%)
• Non-Invigilated > Assignments - (60%)
• Computational laboratories/log book - (20%)

Note that minor variations might occur due to the continuous subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.

Availabilities