Advanced Statistical Inference and Modelling Using R (edX)
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Effort
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Self Paced
Statistical Analysis in R Professional Certificate
What you will learn:
Basics of statistical inference, confidence intervals and hypothesis testing. Commonly used tests. Pvalues, statistical and practical significance.
Analysis of Variance (ANOVA) and post-hoc tests. Diagnostics, implementation and interpretation using R.
Numerical Methods: The use of simulations, nonparametric bootstrap and permutation tests using R.
Linear Regression, Analysis of Variance with Covariates (ANCOVA), Generalised Linear Models (GLMs) and Mixed Effects Linear models using R.
Basics of power analysis (sample size evaluation) and some thoughts on experimental design.
Basics of Statistical Inference and Modelling Using R (edX)
Categories
Effort
Languages
Self Paced