Certificate in Statistical Analysis Techniques: Analytical Skills
-- ViewingNowThe Certificate in Statistical Analysis Techniques: Analytical Skills course is a powerful tool for learners seeking to enhance their analytical skills and data-driven decision-making capabilities. This program focuses on essential statistical techniques, providing students with a strong foundation in data analysis and interpretation.
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⢠Descriptive Statistics: Measures of central tendency, measures of dispersion, and measures of shape.
⢠Inferential Statistics: Confidence intervals, hypothesis testing, and probability distributions.
⢠Regression Analysis: Simple and multiple linear regression, model selection, and diagnostics.
⢠Analysis of Variance (ANOVA): One-way and two-way ANOVA, factorial designs, and multiple comparisons.
⢠Design of Experiments (DOE): Factorial designs, randomization, replication, and blocking.
⢠Multivariate Analysis: Factor analysis, cluster analysis, and discriminant analysis.
⢠Time Series Analysis: Autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA) models.
⢠Nonparametric Statistics: Rank-based tests, distribution-free methods, and nonparametric regression.
⢠Data Visualization: Exploratory data analysis, visualization tools, and techniques for data presentation.
⢠Statistical Software: Proficiency in using statistical software packages, such as R or SAS, for data analysis and modeling.
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