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.
Mohd Faizal
A skilled and dedicated trainer with expertise in data analytics, statistical modeling, and programming tools, this professional brings a practical, learner-focused approach to every session. With experience delivering training across diverse industries and academic levels, they specialize in simplifying complex concepts and equipping participants with real-world, job-ready skills. Known for their interactive teaching style and up-to-date knowledge of tools like Python, R, Power BI, and Stata, this trainer is committed to building data literacy and fostering continuous learning among individuals and teams alike.