Data Science Model Curriculum Implementation for Various Types of Big Data Infrastructure Courses

Abstract

This paper presents experiences of development and teaching three different types of Big Data Infrastructure courses as a part of the general Data Science curricula. The authors built the discussed courses based on the EDISON Data Science Framework (EDSF), in particular, Data Science Body of Knowledge (DS-BoK) related to Data Science Engineering knowledge area group (KAG-DSENG). The paper provides overview of the sandboxes, Cloud-based platforms and tools for Big Data Analytics and stresses importance of including into curriculum the practical work with Clouds for future graduates or specialists workplace adaptability. The paper discusses a relationship between the DSENG BoK and Big Data technologies and platforms, in particular Hadoop-based applications and tools for data analytics that should be promoted through all course activities: lectures, practical activities and self-study.