Statistics
Professional
R programming language for statistical computing and data analysis
This course provides a comprehensive introduction to the R programming language for statistical computing and data analysis. The curriculum covers fundamental R programming concepts, data structures, control flow, and functions, then progresses to applied statistical analysis, including descriptive statistics, inferential statistics, hypothesis testing, and regression modeling. Emphasis is placed on practical skills for data manipulation, visualization (using both base R and ggplot2), and the creation of reproducible reports using R Markdown.
المنهاج
- Instructions for installing R and the RStudio Integrated Development Environment (IDE) (60 min)
- The RStudio Interface (60 min)
- Getting Started (60 min)
- Packages (60 min)
- Data Types and Structures (60 min)
- Conditionals and Loops (60 min)
- Functions (60 min)
- Creating dynamic, reproducible reports that combine code, output, and text. (60 min)
- Statistical Measures (60 min)
- Data Visualization (60 min)
- Sampling (60 min)
- Hypothesis Testing (60 min)
- Statistical Tests (60 min)
- Simple Linear Regression (60 min)
- Multiple Linear Regression (60 min)
- Partial Least Squares Regression (60 min)
