1. Data analysis and visualization using R, IBM SPSS and Microsoft Excel. Examples: Descriptive Statistics Exploratory data analysis Parametric and non-parametric tests Correlation Regression (Simple linear regression, multiple linear regression, cox regression and logistic regression) 2. Sample size calculation and power analysis using R and PASS. 3. Improvement of storytelling with data. (Text and presentations) 4.Scientific / Academic writing