Experienced Coding & Biostatistics Tutor | Learn R & SAS with interactive, practical learning through projects with real-life relevance.

I am Kewa Sivebukola, a coding tutor with a Master’s degree in Biostatistics and over four years of experience teaching R, SAS, SPSS, and Stata. I specialize in helping students and professionals at beginner and intermediate levels build confidence in statistical programming and data analysis. My sessions are personalized and hands-on, focusing on assignments, exam preparation, debugging, and project guidance. I simplify complex concepts and connect coding with real-world applications in public health and research. Whether you are learning how to clean data, run regressions, or interpret statistical output, I provide step-by-step guidance and practical examples that make coding easy to understand. My goal is to turn confusion into confidence by teaching not just what to do but why it works. I am passionate about helping learners gain independence in their coding skills and achieve measurable progress in their studies and professional growth.

In my personalized tutoring approach, I offer step-by-step tutorials, interactive coding sessions, and real-world projects to teach statistical programming languages like R, SAS, SPSS, and Stata. My lessons combine theory with practical application, helping students understand not just how to code but why each step matters. I use project-based learning and hands-on exercises to make lessons engaging and relevant. Tools like Udemy, GitHub, Coursera, and some textbooks support collaboration, screen sharing, and version control. My curriculum focuses on building strong foundations while adapting to each learner’s pace and goals. I’ve taught over 50 students, specializing in beginners and intermediate learners who want to strengthen their analytical and coding confidence. My teaching emphasizes clarity, consistency, and problem-solving, ensuring every student gains the skills to apply coding effectively in research, coursework, and real-world data projects.