Undergraduate Certificate in Processing Clinical Research Data with R

• Introduction to Clinical Research Data: Understanding Data Types, Variables, and Data Collection Methods
• R Programming Language: Basics, Syntax, and Data Structures
• Data Cleaning and Preprocessing in R: Handling Missing Values, Outliers, and Inconsistencies
• Data Analysis with R: Descriptive Statistics and Visualization
• Statistical Modeling in Clinical Research: Regression Analysis, ANOVA, and Chi-Square Tests
• Data Management in R: Organizing, Merging, and Reshaping Data Sets
• Exploratory Data Analysis in Clinical Research: Hypothesis Testing, Power Analysis, and Effect Size Estimation
• Reproducible Research: Documenting and Sharing Code and Results with R Markdown
• Data Security and Ethics: Protecting Patient Information and Ensuring Data Integrity