La veille de la cybersécurité

While the field of data science continues to evolve with exciting new progress in analytical approaches and machine learning, there remain a core set of skills that are foundational for all general practitioners and specialists, especially those who want to be employable with full-stack capabilities. Many "How to Data Science" courses and articles, including my own, tend to highlight fundamental skills like Statistics, Math, and Programming. Recently, however, I noticed through my own experiences that these fundamental skills can be hard to translate into practical skills that will make you employable. Therefore, I wanted to create a unique list of practical skills that will make you employable. The first four skills that I talk about are absolutely pivotal for any data scientist, regardless of what you specialize in.