Learn how to use R to analyze data, conduct research, and produce professional reports—even if you’re starting from scratch.
This course is designed for students, researchers, and professionals who want to build practical data skills for academic work, career growth, or international opportunities.
In this class, you will learn how to:
- Clean and analyze real-world datasets using R and Python
- Perform statistical analysis for research projects
- Create high-quality visualizations
- Automate reports using tools like Quarto
- Structure research workflows that stand out for scholarships and publications
The teaching approach is hands-on and project-based. You won’t just learn theory—you’ll work on real datasets and build a portfolio you can use immediately.
Whether you're preparing for postgraduate studies, working on a thesis, or transitioning into data science, this class will give you a strong, practical foundation.
This course is designed for students, researchers, and professionals who want to build practical data skills for academic work, career growth, or international opportunities.
In this class, you will learn how to:
- Clean and analyze real-world datasets using R and Python
- Perform statistical analysis for research projects
- Create high-quality visualizations
- Automate reports using tools like Quarto
- Structure research workflows that stand out for scholarships and publications
The teaching approach is hands-on and project-based. You won’t just learn theory—you’ll work on real datasets and build a portfolio you can use immediately.
Whether you're preparing for postgraduate studies, working on a thesis, or transitioning into data science, this class will give you a strong, practical foundation.