Undergraduate Certificate in Predictive Modelling with Time Series Data
-- ViewingNowThe Undergraduate Certificate in Predictive Modelling with Time Series Data is a comprehensive course that equips learners with essential skills in predictive modeling, focusing on time series data. This certificate program emphasizes the importance of data-driven decision-making in today's technology-centric world.
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โข Introduction to Predictive Modelling: Fundamentals of predictive modeling, understanding data, creating predictions, and evaluating model performance.
โข Time Series Data: Basics of time series data, understanding trends, seasonality, and stationarity.
โข Data Preprocessing: Cleaning and transforming time series data, handling missing values and outliers, data normalization and scaling.
โข Exploratory Data Analysis: Visualizing time series data, understanding patterns, and identifying anomalies.
โข Statistical Analysis: Hypothesis testing, regression analysis, autocorrelation, partial autocorrelation, and moving averages.
โข ARIMA Modeling: Autoregressive Integrated Moving Average (ARIMA) models, model selection, and parameter estimation.
โข SARIMA Modeling: Seasonal ARIMA (SARIMA) models, model selection, and parameter estimation.
โข Evaluation Metrics: Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE).
โข Model Validation: Cross-validation, walk-forward validation, and model selection criteria.
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