Professional Certificate in Engineering Statistics and Data Analysis
-- ViewingNowThe Professional Certificate in Engineering Statistics and Data Analysis is a crucial course designed to equip learners with essential data analysis skills demanded by today's industry. This program covers essential statistical methods and data analysis techniques that are highly relevant to engineering and related fields.
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⢠Descriptive Statistics: Measures of central tendency, measures of dispersion, and measures of shape.
⢠Inferential Statistics: Hypothesis testing, confidence intervals, and p-values.
⢠Probability Theory: Conditional probability, Bayes' theorem, and probability distributions.
⢠Regression Analysis: Simple and multiple linear regression, model selection, and diagnostics.
⢠Experimental Design: Randomized blocks, factorial designs, and analysis of variance (ANOVA).
⢠Quality Control: Control charts, process capability, and acceptance sampling.
⢠Design of Experiments: Fractional factorial designs, response surface methodology, and optimization.
⢠Time Series Analysis: Autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA) models.
⢠Multivariate Analysis: Principal component analysis (PCA), factor analysis, and discriminant analysis.
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