Every business in the industry is generating loads of financial data. It is important to derive insights out of them to inform and optimize decision making. This course combines statistical tools with machine learning tools and algorithms, to equip the participants with the requisite skill set in analyzing data to achieve better financial results. Practical use-cases, such as financial performance analysis, forecasting, anomaly detection, loss and default modeling, will be discussed.
What You Will Learn
Upon completion of this course, the learners are expected to:
- recommend initiatives that would increase profitability, reduce cost, or optimize capital based on analytics and modeling done on finance and risk data; and
- perform financial and risk analysis using statistical, modeling, optimization, and simulation techniques in Excel.
You will need a computer or laptop with Microsoft Excel installed. Computer or laptop requirements are:
- For Windows: Core i3 or better, 4GB RAM or better, MS Excel 2007 or better
- For MacBook: ideally MS Excel 2013 or newer should be installed (some functions require this version on the Mac). If the version of MS Excel is 2011, download and install StatPlus.