Teaching Machine Learning for cybersecurity is increasingly critical in all Cybersecurity curricula, and brings a valuable skill for Data Science curricula. However, each of these knowledge domains usually requires a significant dedicated background training: systems and network for cybersecurity, statistics and algorithms for data science. It is therefore necessary to identify fundamental concepts to teach Machine Learning and cybersecurity to student with various background. The objective is to provide them with required competences to characterise the data under investigation, to define the objective of the analysis and to evaluate the result of such analysis.