Certificate in Forecasting for Risk Assessment
-- ViewingNowThe Certificate in Forecasting for Risk Assessment is a comprehensive course designed to equip learners with essential skills in forecasting techniques and risk assessment. This course is crucial in today's data-driven world, where businesses increasingly rely on accurate forecasts and risk assessments for strategic decision-making.
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โข Introduction to Forecasting: Basic concepts, types of forecasting methods, importance of forecasting in risk assessment
โข Time Series Analysis: Autoregressive (AR), moving average (MA), autoregressive moving average (ARMA), autoregressive integrated moving average (ARIMA) models
โข Probability Theory: Probability distributions, density functions, cumulative distribution functions, expected value, variance
โข Statistical Inference: Hypothesis testing, confidence intervals, p-values, hypothesis testing for forecasting models
โข Regression Analysis: Simple and multiple linear regression, logistic regression, non-linear regression, model selection techniques
โข Forecasting Techniques: Exponential smoothing, seasonal decomposition of time series, Winter's additive method, Box-Jenkins method
โข Forecasting for Risk Assessment: Risk metrics, value at risk (VaR), conditional value at risk (CVaR), expected shortfall (ES)
โข Model Validation and Evaluation: Model validation techniques, error measures, goodness of fit statistics, cross-validation techniques
โข Machine Learning Techniques for Forecasting: Decision trees, random forests, support vector machines, artificial neural networks, deep learning
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