Financial Analytics

This course runs through the basics of Financial and Credit analysis that can help you gain a head start in analysing financial, accounting and economic data. Students will be taught statistics and econometric methods to model, analyze and predict markets and corporate behaviour.


Course Description

This is a 6-lesson course on financial analytics that will cover econometrics and applications in finance, statistical foundations, descriptive and quantitative statistics, hypothesis testing and correlation and linear regression.

At the end of every lesson, there will be hands-on exercise that will involve real data sets and students will be required to apply skills learnt to solve the assignment questions.

Laptops will be provided for students who do not have the relevant software installed on their systems.


Some background of finance will be useful but not necessary. No prior experience is assumed.

Course Objectives

At the end of this course, students should be able to use demonstrate an advanced working knowledge of econometric tools, covering the skills in CFA for quantitative methods; utilize Microsoft Excel and SPSS to conduct empirical analysis and interpretation, and understand literature on financial modelling and forecasting.

Reference Materials

Koop, G., & Quinlivan, R. (2000). Analysis of economic data (Vol. 2). Chichester: Wiley.

CFA Program Curriculum 2019 Level 1 and 2: Quantitative Methods

Aljandali, A. (2016). Quantitative Analysis and IBM® SPSS® Statistics. Springer International Publishing.

Target Audience

This course is targeted at students, fresh graduates and working professionals in the finance industry.