Singapore University of Social Sciences

This course 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 organizational performance. 本课程介绍数据分析作为商业组织决策制定的关键现代方法。它审视了基于跨行业数据挖掘流程 (CRISP-DM) 框架分析的关键方面。 学生将通过一系列涉及数据可视化、关联规则挖掘、聚类、预测建模和响应建模的项目来学习应用 CRISP-DM。 通过引导学生完成此类项目，他们将获得将数据转化为可以提高组织绩效的重要见解的经验。