IS6400 - Business Data Analytics

Offering Academic Unit
Department of Information Systems
Credit Units
Course Duration
One semester
Basic knowledge on statistics
Course Offering Term*:
Semester B 2021/22

* The offering term is subject to change without prior notice
Course Aims

The course aims to teach students the process, models, and tools for data analysis and analytics in business, such as in finance, marketing, etc.  The course will teach students the practical skills to employ software packages (such as spreadsheets and Python) and apply necessary packages (such as scikit-learn, statsmodels, tensorflow, etc.) to analytical framework and tackle business data analysis problems for corporation manage and decision making.  On completion of the course students should be able to
(a) understand the target and requirements of a selection of critical business data analysis problems.
(b) manage the statistical techniques and machine learning models for data analytics.
(c) implement the models into a programming language, such as Python, and adapt the models through Python packages, and
(d) analyze and interpret the outputs of models to support decision making in finance, marketing, accounting, etc.

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 60%
Examination: 40%
Examination Duration: 2 hours
Detailed Course Information


Useful Links

Department of Information Systems