Tailored Data Science Education Using Gamification
Kim Eun Hee, Roberto V. Zicari, Karsten Tolle, Andrea Manieri · 2016
The interest to become a data scientist or related professions in data science domain is rapidly growing. To meet such a demand, we propose a novel educational service that aims to provide a tailored learning paths for data science. Our target user is one who aims to be an expert in data science. Our approach is to analyze the background of the practitioner and match the learning units. A critical feature is that we use gamification to reinforce the practitioner engagement. We believe that our work provides a practical guideline for those who wants to learn data science.