Course Description

Financial analytics involves the use of data analysis and statistical techniques to interpret financial data, evaluate performance, and make informed decisions in the field of finance. It encompasses various areas such as financial statement analysis, risk management, portfolio optimization, and investment analysis. This course provides students with the knowledge and skills needed to analyze financial data effectively and derive actionable insights for decision- making in finance-related contexts.

Financial Analytics delves into the application of data analytics techniques in the financial industry to drive insights and improve decision-making. Participants will learn how to analyze financial data, including market trends, trading patterns, and risk metrics, to make informed investment decisions and manage financial portfolios. Topics covered include portfolio optimization, risk management, algorithmic trading, and financial forecasting. Through hands- on projects and simulations, participants will gain practical experience in applying analytics to solve real-world financial problems and enhance financial performance.