Content

This is an online course where all learning materials are accessed via the edX platform.  The course is available from the beginning of the academic year, but support and contact is only available from the 2nd semester onwards. 

1. Introduction to R 

2. Univariate data: 
    a. Exploratory data analysis (graphical and numerical summaries) 
    b. Random variables and distributions 
    c. Statistical models and estimators 
    d. Maximum likelihood estimators 
    e. Quantile-Quantile plot and test for normality 
    f. Transformation to normality 
    g. Inference about the mean 

3. Bivariate data: 
    a. Exploratory data analysis, covariance, correlation 
    b. Bivariate distributions 
    c. Bivariate normal distribution 
    d. Simple linear regression 
    e. One-way analysis of variance 

4. Multivariate data: 
    a. Exploratory data analysis 
    b. Multivariate distributions 
    c. Multivariate normal distribution 
    d. Statistical models and estimators 
    e. Test for multivariate normality 
    f. Inference about the mean (multiple testing) 
5. Multiple linear regression: 
    a. The linear regression model 
    b. The least squares estimator 
    c. Properties of the least squares estimator 
    d. Analysis of variance 
    e. Statistical properties of the least squares estimator 
    f. Statistical inference 
    g. Verifying the model assumptions 
    h. Outlier detection 

Course material

All material is available on edX

Format: more information

Asynchronous online learning