The Financial Analytics course is a two-month intensive program designed to equip students with practical analytical skills required in modern finance roles. Conducted through structured weekend sessions, the course is tailored for management students and working professionals seeking applied expertise in financial data analysis and decision-making.
With over 25 years of academic, research, and industry experience, Dr Debadatta Das brings deep expertise in Corporate Finance, Financial Risk Management, Climate Finance, Blockchain Accounting, and Financial Technology. His extensive exposure to research, consulting, and capital markets ensures strong academic rigour combined with real-world relevance.
The course aims to:
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Develop analytical thinking in financial decision-making
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Build hands-on skills in financial modelling
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Apply statistical and econometric tools to financial data
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Interpret risk and return dynamics using quantitative techniques
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Integrate analytics into investment and risk management strategies
Core Topics Covered
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Financial Statement Analytics
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Time Series Analysis & Stationarity
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CAPM & Cost of Capital Estimation
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Portfolio Theory & Risk-Return Analytics
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Volatility Modelling (ARCH/GARCH)
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Credit Risk Modelling (PD, LGD, EAD, Expected Loss)
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Investment Decision Techniques (NPV, IRR, WACC)
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Forecasting & Predictive Financial Models