Certificate in Statistical Modeling: A Practical Approach
-- ViewingNowThe Certificate in Statistical Modeling: A Practical Approach is a comprehensive course that empowers learners with essential skills in statistical modeling, data analysis, and predictive modeling. This course is vital in today's data-driven world, where businesses rely on statistical models to make informed decisions and drive growth.
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โข Introduction to Statistical Modeling: Basic concepts, terminology, and applications of statistical modeling.
โข Descriptive Statistics and Probability Theory: Measures of central tendency, dispersion, and association; probability distributions; random variables.
โข Inferential Statistics and Hypothesis Testing: Confidence intervals, hypothesis testing, t-tests, ANOVA, chi-square tests.
โข Regression Analysis: Simple and multiple linear regression, model selection, diagnostics, and interpretation.
โข Logistic Regression: Binary outcomes, odds ratios, maximum likelihood estimation, model evaluation.
โข Analysis of Variance (ANOVA): Fixed and random effects, one-way and two-way ANOVA, factorial designs.
โข Non-parametric Methods: Rank-based tests, Wilcoxon signed-rank test, Mann-Whitney U test, Kruskal-Wallis H test.
โข Multivariate Analysis: Principal component analysis, factor analysis, multiple correspondence analysis.
โข Model Selection, Validation, and Evaluation: Model selection criteria, cross-validation, goodness-of-fit measures, overfitting and underfitting.
โข Data Visualization in Statistical Modeling: Plotting residuals, diagnostic plots, visualizing multivariate data.
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