Data Analytics for Decision Makers

CET Course | SkillsFuture Claimable Course

Synopsis

Data Analytics for Decision Making presents Data Analytics as a key modern approach for decision making in business organisations. It examines the key aspects of Business Analytics based on Cross-Industry Process for Data Mining (CRISP-DM) framework. Students will learn to apply CRISP-DM by going through a series of projects involving data visualisation, association rule mining, clustering, predictive modelling and response modelling. By walking students through such projects, they will gain experience in turning data into important insights that may improve organisational performance.

Level: 5
Credit Units: 5
Presentation Pattern: EVERY JAN

Topics

Introduction to Business Analytics
CRISP-DM--- An Overview
Introduction to Data Visualisation
Process and challenges in a Data Visualisation project
Association Rule Mining
Process and challenges in an Association Rule Mining project
Data Clustering
Process and challenges in a Data Clustering project
Predictive Modelling
Process and challenges in a Predictive Modelling project
Response Modelling
Process and challenges in a Response Modelling project

Learning Outcome

Design Analytics Solutions using the CRISP-DM framework
Appraise the suitability of analytics techniques in different contexts
Evaluate performance of analytics models
Assess the quality of data for analytics
Prepare data for mining and analysis
Construct an analytics solution using application software

Part-time Programmes / CET Courses

Singapore University of Social Sciences