Certificate in Statistical Analysis for Science
-- ViewingNowThe Certificate in Statistical Analysis for Science is a comprehensive course designed to equip learners with essential statistical analysis skills for scientific research and data-driven decision making. This program covers key concepts in probability, statistical inference, experimental design, and data analysis using popular software tools like R and Python.
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โข Introduction to Statistical Analysis - Basic statistical concepts, data collection, and data description
โข Data Exploration - Data visualization, univariate and bivariate analyses
โข Probability Theory - Conditional probability, Bayes' theorem, probability distributions
โข Descriptive and Inferential Statistics - Measures of central tendency, dispersion, and association
โข Hypothesis Testing - Hypothesis formulation, test statistics, p-values, and confidence intervals
โข Regression Analysis - Simple and multiple linear regression, model selection, and diagnostics
โข Analysis of Variance (ANOVA) - One-way and two-way ANOVA, factorial designs
โข Non-parametric Methods - Rank-based tests, distribution-free methods
โข Sample Size Calculations - Power analysis, effect size estimation, and precision
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