The course aims to teach students data mining and predictive analytics models and tools for data analysis in business related applications, including applications in finance, marketing and operations etc. The course will also teach students practical skills on handling data, conducting analysis in statistical software packages, and visualizing and presenting data analysis findings. 

On completion of the course students should be able to

(a)   formulate relevant business problems into the framework of data analytics;

(b)   develop appropriate analytics models based on applications and available data;

(c)   implement the models and conduct analysis in a software package, such as R; and

(d)   analyse and interpret the outputs of models to support decision making in finance, marketing, operations, etc.