The R for Beginners training program is designed for individuals who are new to programming or data analysis and want to build a strong foundation in R, one of the most widely used languages in data science, statistics, and research. This hands-on course introduces participants to the basics of R programming, including data structures, functions, and essential packages. Through practical exercises and real-world examples, learners will gain the skills to import, clean, visualize, and analyze data confidently. Whether you’re a student, researcher, analyst, or working professional, this course equips you with the tools needed to start your journey in data analysis using R. By the end of the training, participants will be able to perform basic data manipulation, generate insightful plots, and write reproducible code for statistical analysis and reporting.
The Systematic Literature Review (SLR) training program is designed to equip researchers, academics, and analysts with the skills and tools needed to conduct comprehensive, structured, and reproducible literature reviews. This course focuses on integrating both qualitative and quantitative techniques to identify research trends, evaluate scholarly impact, and map the evolution of knowledge within a field. Participants will learn how to use Python for automation and text analysis, R Bibliometrix for bibliometric and scientometric analysis, and VOSviewer for network visualization of keywords, citations, and co-authorship. By the end of the training, learners will be able to conduct advanced reviews that go beyond narrative summaries and produce data-driven insights into the structure and direction of academic research.
