The fifth course emphasises the crucial stage of data analysis and interpretation in the research journey, equipping candidates with the knowledge and practical skills necessary to transform raw data into meaningful insights. It begins with guiding them through proper data entry, organisation, and cleaning to ensure accuracy and reliability, before advancing to the application of suitable statistical and analytical methods tailored to their research design. Candidates will also learn how to interpret findings with critical insight, situating results within existing literature and theoretical frameworks to generate sound conclusions. Beyond analysis, the course highlights the importance of communicating research effectively, with training on presenting preliminary results through well-structured tables, figures, and narratives that meet scholarly standards. This process culminates in the preparation of a scientific paper intended for publication, providing candidates with practical experience in academic writing and dissemination. Alongside technical competencies, the course reinforces essential transferable skills, including digital literacy for data management and the use of statistical software; numeracy to strengthen analytical reasoning; and ethics and professionalism in handling data, reporting findings honestly, and upholding research integrity. In doing so, it not only develops technical expertise but also cultivates responsible researchers capable of producing work that contributes meaningfully to their fields.