Certificate in Statistics for Decision Makers
-- ViewingNowThe Certificate in Statistics for Decision Makers is a comprehensive course designed to equip learners with essential statistical skills for data-driven decision making in today's data-centric world. This course covers key concepts in statistics, probability, and data analysis, providing a solid foundation for analyzing and interpreting complex data sets.
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โข Descriptive Statistics: Measures of central tendency, measures of dispersion, and measures of shape.
โข Probability Theory: Definitions and concepts of probability, conditional probability, and independence.
โข Inferential Statistics: Sampling distributions, hypothesis testing, and confidence intervals.
โข Regression Analysis: Simple and multiple linear regression, model selection, and diagnostics.
โข Experimental Design: Design of experiments, randomization, replication, and blocking.
โข Analysis of Variance (ANOVA): One-way and two-way ANOVA, factorial designs, and multiple comparisons.
โข Contingency Tables: Chi-square test for independence, odds ratios, and relative risks.
โข Nonparametric Statistics: Mann-Whitney U test, Wilcoxon signed-rank test, and Kruskal-Wallis test.
โข Multivariate Analysis: Principal component analysis, factor analysis, and cluster analysis.
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