Module 1: Customer Segmentation and User Recommender Systems
About This Course
Python programming language has become increasingly popular for courses in computational data science in recent years. We’ve seen many courses offering computation science with Python programming language. But there remains a need for a course that combines data science with strategic decision-making so that participants can learn how to use end-to-end Python data science to make informed decisions.
In today's increasingly data-driven world, one must be capable of reading and analysing data for strategic decision-making.
In this programme, participants will be equipped with the knowledge of applying Python programming skills and data science toolkits to make data-driven decisions in areas of Marketing, HR and Computational Finance. Participants will also learn how to use analytical tools for decision making, and understand computational programming in the execution of analysis.
What You'll Learn
• Understand the overarching types of questions in business analytics
• Run clustering algorithms for customer segmentation and journey mapping
• Create recommender systems for personalisation
Entry Requirements
Participants should have some knowledge or experience in Python programming (equivalent to that attained in SMU Academy's Professional Certificate in Python Programming programme).