Learn how to choose, perform, and interpret statistical tests using R, including correlation, contingency tables, chi-square tests, t-tests, and ANOVA, with examples and exercises focused on biological and clinical research.
Learn how to select, perform, and interpret common statistical tests using SPSS, with a focus on applying inferential statistics to real-world research data.
This workshop provides the introduction to machine learning, guiding participants through core concepts, key algorithms, data preparation, and hands-on model building to support research-driven applications.
This workshop provides a practical introduction to logistic regression using R, guiding participants through both the theory and application of modelling binary outcomes for inference and prediction.
Learn how to select, perform, and interpret common statistical tests using SPSS, with a focus on applying inferential statistics to real-world research data.
Learn how to select, perform, and interpret common statistical tests using SPSS, with a focus on applying inferential statistics to real-world research data.
Learn how to choose, perform, and interpret statistical tests using R, including correlation, contingency tables, chi-square tests, t-tests, and ANOVA, with examples and exercises focused on biological and clinical research.
