Certificate in Statistical Analysis for Social Sciences
-- ViewingNowThe Certificate in Statistical Analysis for Social Sciences is a comprehensive course that equips learners with essential skills in statistical analysis for social science research. This program is critical for individuals pursuing careers in social sciences, as it provides the necessary tools to analyze and interpret complex data sets.
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⢠Introduction to Statistical Analysis: Basic concepts, terminology, and techniques used in statistical analysis.
⢠Data Collection Methods: Surveys, experiments, observational studies, and secondary data sources.
⢠Data Cleaning and Preparation: Data wrangling, data imputation, outlier detection, and data transformation.
⢠Descriptive Statistics: Measures of central tendency, dispersion, skewness, and kurtosis.
⢠Inferential Statistics: Hypothesis testing, statistical significance, and confidence intervals.
⢠Correlation Analysis: Pearson's correlation, Spearman's rank correlation, and partial correlation.
⢠Regression Analysis: Simple and multiple linear regression, logistic regression, and regression diagnostics.
⢠Analysis of Variance (ANOVA): One-way and two-way ANOVA, repeated measures ANOVA, and factorial designs.
⢠Nonparametric Statistics: Mann-Whitney U test, Wilcoxon signed-rank test, and Kruskal-Wallis test.
⢠Exploratory Data Analysis (EDA): Data visualization and data mining techniques for social science research.
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