Suppose you are a quantitative analyst specializing in big data and machine learning. Your manager is asking you to write a research report on a finance-related topic using big data techniques. Examples include studying the relationship between two financial variables, designing risk management strategies, implementing trading strategies on different assets, optimizing your investment portfolio, forecasting returns/volatilities, etc. It is your job to find the appropriate dataset, but you can consult your lecturer. If you have difficulty in choosing a research topic, please do not hesitate to contact the lecturer.
Your final report should include six parts: Introduction, Literature
Review, Data and Empirical Analysis, Conclusion, References and Appendix.
Intended Learning Outcomes being assessed
1. Demonstrate knowledge of advanced aspects of big data analytics.
2. Apply appropriate machine learning techniques to analyze big data sets
3. Assess the statistical significance of data mining results
4. Utilize statistical packages to perform basic data mining tasks on big data
