R & Python for Research & Data Analysis (Beginner to Advanced)

Von 24.54 € /Std

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.

Zusätzliche Informationen

- No prior programming experience is required (for beginners)
- Intermediate/advanced learners can request customized sessions
- Classes are tailored to your goals (research, career switch, scholarships, etc.)
- You will receive practice datasets and guided exercises
- Option for project supervision (thesis, dissertation, or research papers)

Ort

Online aus Nigeria

Über mich

- I am a data scientist and educator with a strong focus on helping students and professionals use data to unlock academic and career opportunities.
- I specialize in teaching R for research, data analysis, and real-world problem solving. My approach is practical and results-driven—I focus on helping students not just understand concepts, but actually apply them to their projects, theses, and career goals.
- I have worked with students from different backgrounds, including beginners with no programming experience, and guided them to confidently analyze data, build reports, and present their findings professionally.
- Beyond teaching, I am deeply involved in helping students position themselves for international opportunities, including fully funded scholarships. This means I understand what level of analytical and research skills are expected—and I train my students accordingly.
- My classes are interactive, structured, and tailored to each student’s needs. Whether you're preparing for a research project, switching into data science, or strengthening your academic profile, I will guide you step by step.

Bildung

- Swedish University of Agricultural Sciences, MSc Forest Sciences, First Class Honors, 2023
- University of Copenhagen, MSc Forest Ecosystem Nature and Society, 2022
- The Federal University of Technology, Akure, B. Agric. Tech. First Class Honors, 2019

Erfahrung / Qualifikationen

- Founder of EU StudyAssist, supporting students with academic and international study opportunities
- Instructor of “R for Research” program, training students in data analysis and research workflows
- Experience teaching beginners, intermediate learners, and advanced research students
- Hands-on experience with:
- Data cleaning and analysis
- Statistical modeling
- Data visualization
- Research report automation (e.g., Quarto)
- Supported students working on:
- Undergraduate and postgraduate research projects
- Theses and dissertations
- Scholarship and academic applications

I focus on delivering skills that are immediately useful—so students can see real progress within a short time.

Alter

Kinder (7-12 Jahre alt)

Jugendliche (13-17 Jahre alt)

Erwachsene (18-64 Jahre alt)

Seniorinnen und Senioren (65+ Jahre alt)

Unterrichtsniveau

Anfänger

Mittel

Fortgeschritten

Dauer

30 Minuten

45 Minuten