Undergraduate Certificate in Statistical Analysis Techniques
-- ViewingNowThe Undergraduate Certificate in Statistical Analysis Techniques is a comprehensive program designed to equip learners with essential skills in data analysis and statistical methods. This course is vital in today's data-driven world, where businesses and organizations rely heavily on statistical analysis to make informed decisions.
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โข Descriptive Statistics: Measures of central tendency, variability, and distribution; frequency distributions; data visualization using graphs and charts.
โข Probability Theory: Concepts of probability; conditional probability; Bayes' theorem; discrete and continuous random variables; probability distributions.
โข Inferential Statistics: Estimation; hypothesis testing; confidence intervals; p-values; t-tests; ANOVA.
โข Regression Analysis: Simple and multiple linear regression; model selection; residual analysis; prediction intervals.
โข Analysis of Variance (ANOVA): One-way and two-way ANOVA; factorial designs; interaction effects; multiple comparison tests.
โข Nonparametric Statistics: Rank-based tests; Kruskal-Wallis; Mann-Whitney U; Wilcoxon signed-rank test; sign test.
โข Multivariate Analysis: Principal component analysis; factor analysis; multiple correspondence analysis; cluster analysis.
โข Time Series Analysis: Autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA) models; seasonality; forecasting.
โข Data Mining and Machine Learning: Decision trees; random forests; support vector machines; logistic regression; machine learning algorithms for classification and regression.
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