Undergraduate Certificate in Fundamentals of Statistical Analysis for Research
-- ViewingNowThe Undergraduate Certificate in Fundamentals of Statistical Analysis for Research is a comprehensive course designed to equip learners with essential skills in statistical analysis. This program is crucial in developing a strong foundation in statistical methods, which are highly demanded across various industries including healthcare, finance, technology, and government.
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โข Introduction to Statistical Analysis: Basic concepts, terminology, and applications of statistical analysis. Descriptive statistics, data visualization, and probability.
โข Data Collection and Preparation: Research design, sampling techniques, data collection methods, and data cleaning.
โข Probability Theory: Conditional probability, Bayes' theorem, discrete and continuous random variables, probability distributions, and multivariate distributions.
โข Inferential Statistics: Confidence intervals, hypothesis testing, and p-values.
โข Parametric and Nonparametric Tests: One-sample, two-sample, and paired tests. ANOVA, t-tests, Mann-Whitney U test, Wilcoxon signed-rank test, and Kruskal-Wallis test.
โข Linear Regression Analysis: Simple and multiple linear regression, model selection, diagnostics, and interpretation of results.
โข Logistic Regression Analysis: Binary and multinomial logistic regression, odds ratios, and model evaluation.
โข Analysis of Variance (ANOVA): One-way and two-way ANOVA, factorial designs, and repeated measures ANOVA.
โข Nonparametric and Multivariate Methods: Nonparametric tests, cluster analysis, factor analysis, discriminant analysis, and multidimensional scaling.
โข Applied Statistical Analysis: Real-world applications, interpretation of results, and communication of statistical findings.
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