Shannon Fernandes

The first two weeks that comprise the first part is focused on introducing you to statistical theory (models approach) and R, so that you are equipped with the foundation needed for research

Day 1 (5th Jan) - Univariate Estimates

1) Mean as a Model, Deviance and Variance

2) Standard Error, Standard Score

3) Confidence Interval 

4) Introducing R 

5) Your first R script 

Day 2 (12th Jan) - Plotting & Bivariate Estimates

1) Loading and using datasets in R

2) Introduction to Flexplot 

3) Bivariate Estimates

4) Regression models 

5) Plotting Bivariate Estimates

The last two weeks that comprise the second part is focused on continuing where we left off to introduce hypothesis testing and further advanced models

Day 3 (26th Jan) - Hypothesis Testing

1) What is hypothesis testing?

2) Test Statistic, Power, Effect Size

3) Install necessary packages

4) Comparison of Means

5) Plotting the difference

Day 4 (2nd Feb) - All about ANOVA

1) Introduction to ANOVA family

2) One Way ANOVA

3) Two Way ANOVA

4) Kruskal-Wallis & Repeated Measurements