Professional Certificate in Statistical Analysis in R
Course Features
Duration
3 months
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Effort
10 hours per week
Teaching Type
Self Paced
Course Description
Course Overview
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Skills You Will Gain
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
Course Instructors
Elena Moltchanova
Professor of Statistics