Not Your Typical Bootcamp
This accelerator will focus on the practical application of data collection, storage, organization and processing. Students will learn how to build the big data infrastructure, interfaces and mechanisms needed to provide data to be analyzed by data scientists. In addition to big data infrastructure, course work will also focus on data modeling, integration and pipeline processing. Basic programming skills and working knowledge of data structures is required. The course includes 75 hours of instructor-led training and in-class hands-on work.
Click here for the Course Outline.
- Prepare the big data infrastructure
- Be able to provide data to be analyzed by data scientists
- 7.5 Continuing Education Units/ 75 Professional Development Hours
Who Should Enroll
Anyone looking to jump start into a career in Data Analytics.
Prerequisites: Basic programming skills, data structures