The Statistical Inference (5 ECTS) course has provided me with essential tools to rigorously interpret data and draw valid conclusions from research findings as part of my PhD training. I have deepened my understanding of key concepts such as hypothesis testing, confidence intervals, p-values, and statistical significance. This course has helped me critically evaluate the results of both my own studies and those of others, enhancing the quality and reliability of my scientific work. It has also strengthened my ability to select appropriate statistical methods and understand their assumptions, which is crucial for designing robust experiments and publishing in high-impact journals.

As a PhD student, this course has been extremely useful in helping me strategically choose where to publish my research. I’ve learned how to identify high-impact and reputable journals by analyzing key indicators such as impact factor, quartiles, indexing databases, and open access policies. The course has also helped me understand the risks of predatory journals and the importance of aligning the scope of a journal with the focus of my work. Overall, it has strengthened my ability to critically assess publication options and increased my confidence in making informed, ethical, and effective decisions about disseminating my research.

As a PhD student, the Open Access course has offered valuable insight into how I can make my research more visible, accessible, and socially impactful. It has helped me understand the different types of licenses that allow my work to be openly published, as well as the legal and ethical frameworks that support Open Access. This workshop has strengthened my competencies in scientific communication and has made me more aware of my role in promoting transparent, accessible, and responsible science.