Events

Data are often stored in tables or databases, which provide information about size and variable types but reveal little about underlying patterns. This online workshop introduces graphical and numerical techniques to uncover data structure and summarize distributions effectively.

Refresh your understanding of fundamental statistical concepts and strengthen your data analysis skills in this interactive workshop. Using R, we’ll revisit key topics such as descriptive statistics, probability distributions, hypothesis testing and basic inferential techniques. Through guided exercises, you’ll learn how to apply these concepts effectively to interpret and analyze data with confidence. 

Linear regression models, also known as linear models, are essential tools in various fields due to their simplicity and ease of interpretation. This workshop offers a comprehensive introduction to both simple and multiple linear regression.

What You'll Learn:

• Fundamentals of regression models and their assumptions
• How to interpret coefficients and conduct significance testing
• Exploring interactions between variables and using dummy variables
• Model-checking techniques, including residual plots and collinearity diagnostics
• Methods for model selection