Certificate in Statistics for Career Advancement Professionals
-- ViewingNowThe Certificate in Statistics for Career Advancement Professionals is a valuable course that empowers learners with essential statistical skills for career growth. In today's data-driven world, statistical literacy is critical for decision-making in various industries.
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⢠Descriptive Statistics: Measures of central tendency, measures of dispersion, measures of shape, and measures of relative standing.
⢠Probability Theory: Definitions of probability, conditional probability, and various probability distributions.
⢠Inferential Statistics: Hypothesis testing, confidence intervals, and estimation.
⢠Regression Analysis: Simple and multiple linear regression, model selection, and interpretation of results.
⢠Analysis of Variance (ANOVA): One-way and two-way ANOVA, and factorial designs.
⢠Design of Experiments: Randomization, replication, blocking, and factorial designs.
⢠Nonparametric Statistics: Tests for non-normally distributed data and non-continuous data.
⢠Multivariate Analysis: Factor analysis, cluster analysis, and discriminant analysis.
⢠Data Visualization: Data exploration, data presentation, and data communication.
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