University of Technology Sydney

42050 SAS Predictive Business Analytics

6cp; 1.5hpw (lecture), 1.5 hpw (tutorial)
Requisite(s): 31250 Introduction to Data Analytics OR 32130 Fundamentals of Data Analytics



Predictive business analytics is used to predict unknown future events by analysing historical business data and plays a critical function in data-driven business. This subject covers the theoretical foundations of predictive business analytics. A series of demonstrations and exercises are used to reinforce concepts and analytical approaches to solving business problems. Students engage with case studies to guide them through all steps of the predictive analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment. Model Studio is the pipeline flow interface in SAS Viya that enables students to prepare, develop, compare, and deploy advanced analytics models. Students learn to develop and train supervised machine learning models to make better decisions using big data. The SAS applications used in this course make machine learning and predictive analytics possible with a limited amount of programming or coding. Upon completion, students are prepared to sit the optional SAS certification exam, “SAS Certified Specialist: Machine Learning Using SAS Viya”.

Typical availability

Spring session, City campus

Detailed subject description.

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