Predictive Analytics with Machine Learning

By the end of the module, students will be able to:

• Explain what business analytics is and how it is used in commerce and industries.
• Prepare and cleanse data for modelling using descriptive and exploratory data analysis.
• Explain and assess the types of algorithms used for predictions.
• Apply statistical analysis and machine learning techniques to identify patterns in the data and build predictive and descriptive models.
• Assess, optimize and recommend the best predictive and descriptive model for meeting business goals.

What You'll Learn

This module is part of the Post-Diploma Certificate in Advanced Business Analytics.

This module aims to equip students with a comprehensive foundation of data mining processes, algorithms and hands on experience to identify data trends and build descriptive and predictive models with an emphasis on business application.

Using supervised and unsupervised machine learning techniques, students will learn how to resolve business problems using data mining and predictive modelling by going through the entire cycle of business understanding, data understanding and preparation, data modelling, and testing and evaluation of models.

Minimum Entry Requirement

Applicants should possess at least a local diploma qualification or equivalent in business, engineering, technology, or any other disciplines from recognised institution.

Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted will have to go through an interview and/or entrance test. The Polytechnic reserves the right to shortlist and admit applicants.