Abstract

The goal of our work is to develop an open and modular course for data science and big data analytics that is accessible to non-programmers. The course is designed to cover major concepts that are useful to understand the benefits of parallel and distributed programming while not relying on a programming background. These key concepts focus more on algorithmic aspects rather than architecture and performance issues. A key aspect of our work is the use of workflows to illustrate key concepts and to allow the students to practice.

Date

November 16, 2014

Authors

Yolanda Gil

Conference

2014 workshop on education for high performance computing

Pages

42-48

Publisher

IEEE