Predictive Modelling

Singapore University of Social Sciences

Predictive Modelling (ANL307)

Applications Open: 01 October 2021

Applications Close: 30 November 2021

Next Available Intake: January 2022

Course Types: Modular Undergraduate Course, SkillsFuture Series

Language: English

Duration: 6 months

Fees: $1378 View More Details on Fees

Area of Interest: Business Administration

Schemes: Alumni Continuing Education + (ACE+), Lifelong Learning Credit (L2C), Resilience

Funding: SkillsFuture, Union Training Assistance Programme (UTAP)

School/Department: School of Business

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Synopsis

ANL307 Predictive Modelling aims to equip students with the skills and knowledge in developing predictive models to solve business problems. The course covers important concepts (such as issues in model construction, evaluation, selection and deployment) that underpin the proper development of useful models. Last but not least, the course also covers applications of predictive modelling using cloud services.

Level: 3
Credit Units: 5
Presentation Pattern: Every January

Topics

Introduction to Predictive Modelling
Applications of Predictive Modelling
Model Construction and Evaluation
Model Selection
Logistic Regression for making predictions
Decision Trees: CHAID and CART
Decision Trees: QUEST and C5.0
Artificial Neural Networks
Ensemble Models
Random Forest
Support Vector Machine (SVM)
Applying Predictive Analytics on Cloud Services

Learning Outcome

Discuss various conceptual and practical aspects of applying predictive modelling
Appraise the application of predictive modelling
Compare different techniques for predictive modelling
Construct predictive models using appropriate analytics software
Evaluate the performance of predictive models
Analyse, interpret and deploy the results or outputs of predictive models