Certificate in Foundational Statistical Modeling Concepts
-- ViewingNowThe Certificate in Foundational Statistical Modeling Concepts is a comprehensive course designed to equip learners with essential statistical modeling skills. This program covers fundamental concepts, including probability, hypothesis testing, regression analysis, and experimental design.
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โข Descriptive Statistics: Measures of central tendency, measures of dispersion, and measures of shape.
โข Probability Theory: Definitions and principles of probability, conditional probability, and independence.
โข Random Variables: Discrete and continuous random variables, probability mass and density functions.
โข Probability Distributions: Understanding of common probability distributions, including normal, binomial, and Poisson distributions.
โข Statistical Inference: Hypothesis testing, confidence intervals, and p-values.
โข Regression Analysis: Simple and multiple regression, least squares method, and interpretation of regression coefficients.
โข Analysis of Variance (ANOVA): One-way and two-way ANOVA, understanding of main effects and interactions.
โข Sampling Distributions: Central Limit Theorem, sampling distribution of the sample mean and proportion.
โข Bayesian Inference: Prior and posterior distributions, Bayes' theorem, and its applications in statistical modeling.
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