| Unit 1 | |
| Financial Data, Types and Sources | VIEW |
| Data Cleaning | VIEW |
| Data Pre-Processing | VIEW |
| Descriptive Analytics | VIEW |
| Pivot Tables | VIEW |
| Dashboards | VIEW |
| Financial Data Visualisation Using Charts | VIEW |
| Introduction to Data-Driven Financial Decision-Making | VIEW |
| Applications of Analytics in Fraud Detection, Risk Profiling, and Pricing Analytics | VIEW |
| Unit 2 | |
| Financial Modelling, Spreadsheet/Python/R-Based Modelling | VIEW |
| Computation of Returns | VIEW |
| Portfolio Returns and Risk | VIEW |
| Regression-Based Financial Analysis | VIEW |
| Factor Models | VIEW |
| Model Building for Investment Decision-Making | VIEW |
| Introduction to Model Validation Techniques | VIEW |
| Unit 3 | |
| Risk Measurement Techniques, Variance, Standard Deviation, Beta | VIEW |
| Portfolio Risk-Return Analysis | VIEW |
| Diversification Principles | VIEW |
| Stress Testing | VIEW |
| Scenario Analysis | VIEW |
| CAPM-based Analytics | VIEW |
| Interpretation of Financial Risk Indicators for Decision Support | VIEW |
| Unit 4 | |
| Time-Series Data Structure; Trend, Seasonal, Cyclical Components | VIEW |
| Moving Averages and Exponential Smoothing | VIEW |
| Least Squares Forecasting | VIEW |
| Trend Projection Models | VIEW |
| Application of Time-Series Techniques in Stock Prices, Returns, and Macro-Financial Variables | VIEW |
| Unit 5 | |
| Introduction to Autocorrelation and Autoregressive Integrated Moving Average (ARIMA) | VIEW |
| Model Selection and Validation | VIEW |
| Comparative Forecasting Methods | VIEW |
| Financial Interpretation of Forecasts for Strategic Decision-Making | VIEW |
