Professional Certificate in Advanced Regression Analysis
-- ViewingNowThe Professional Certificate in Advanced Regression Analysis is a comprehensive course designed to empower learners with the skills required to analyze and interpret complex datasets. This certification emphasizes the importance of regression analysis in making data-driven decisions, a skill highly sought after in today's data-centric world.
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โข Fundamentals of Regression Analysis: Introduction to regression concepts, simple linear regression, multiple linear regression, and assessing model adequacy.
โข Assumptions & Diagnostics: Assumptions in regression analysis, diagnostic tests (e.g., residual analysis, influence diagnostics), and remedial measures for assumption violations.
โข Advanced Linear Models: Heteroscedasticity, autocorrelation, generalized least squares (GLS), and weighted least squares (WLS).
โข Regression with Categorical Variables: Dummy variables, indicator variables, interaction terms, and applying these concepts in regression models.
โข Logistic Regression: Binary outcomes, maximum likelihood estimation, odds ratios, and model assessment.
โข Generalized Linear Models (GLMs): Extensions of linear and logistic regression, exponential family distributions, and link functions.
โข Penalized Regression: Ridge regression, Lasso regression, and Elastic Net, including their theoretical foundations and practical applications.
โข Non-linear Regression: Non-linear least squares, non-linear models, and their assumptions and diagnostics.
โข Time Series Analysis: Time series components, autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA) models.
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