Professional Certificate in Statistical Modeling for Forecasting
-- ViewingNowThe Professional Certificate in Statistical Modeling for Forecasting is a crucial course designed to equip learners with the skills to analyze data and make accurate predictions. This certificate program is in high industry demand as businesses increasingly rely on data-driven decisions.
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โข Introduction to Statistical Modeling: Basic concepts, data exploration, data visualization
โข Descriptive Statistics: Measures of central tendency, dispersion, skewness, kurtosis
โข Probability Theory: Conditional probability, Bayes' theorem, probability distributions
โข Regression Analysis) or links. > Simple and multiple linear regression, polynomial regression
โข Time Series Analysis: Autoregressive, moving average, and ARIMA models
โข Forecasting Techniques: Exponential smoothing, seasonal decomposition, Theta method
โข Model Evaluation: Residual analysis, cross-validation, information criteria
โข Data Preprocessing: Data cleaning, missing value imputation, feature scaling
โข Advanced Statistical Modeling: Generalized linear models, nonlinear regression, machine learning algorithms
โข Case Studies and Applications: Real-world examples and projects using statistical modeling for forecasting
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