Certificate in Statistical Modeling for Effective Decision-Making
-- ViewingNowThe Certificate in Statistical Modeling for Effective Decision-Making is a comprehensive course designed to equip learners with essential skills in statistical modeling for data-driven decision making. This course is critical for professionals seeking to enhance their analytical skills and make informed decisions based on statistical data.
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โข Introduction to Statistical Modeling: Basic concepts, importance, and applications of statistical modeling. Understanding data, variables, and relationships.
โข Descriptive Statistics: Measures of central tendency, dispersion, and association. Data visualization techniques and interpretation.
โข Probability Theory: Definitions, axioms, and rules of probability. Conditional probability, Bayes' theorem, and independence.
โข Inferential Statistics: Hypothesis testing, confidence intervals, and p-values. Types of errors and their implications.
โข Regression Analysis: Simple and multiple linear regression. Assumptions, diagnostics, and model selection. Interpreting coefficients and making predictions.
โข Logistic Regression: Binary and multinomial logistic regression. Odds ratios, goodness-of-fit, and model evaluation.
โข Analysis of Variance (ANOVA): One-way and two-way ANOVA. Factorial designs, interactions, and multiple comparisons.
โข Design and Analysis of Experiments: Randomized block designs, Latin squares, and factorial experiments. Power and sample size calculations.
โข Decision Theory: Utility theory, decision matrices, and expected value of perfect information.
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