Professional Development & Executive Education

Data Engineering

Not Your Typical Bootcamp

Course Description

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.

Program Benefits

  • 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


NJIT Professor

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