A Faster Track to Careers in Demanding Industries

Big Data Analytics

Big Data refers to a huge number of diverse structured- and unstructured data that is created at high rate. Data sources include sensor networks, social networks, medical records, Internet text and documents, genomics, etc. Big data is used in many fields and industries such as healthcare, retail, manufacturing, finance and government. Big Data can be leveraged to identify issues and opportunities which were not possible through traditional tools and techniques.

According to a report published by McKinsey, there is a problem. “A significant constraint on realizing value from Big Data will be a shortage of talent, particularly of people with deep expertise in statistics and machine learning, and the managers and analysts who know how to operate companies by using insights from Big Data,” the report said. “We project a need for 1.5 million additional managers and analysts in the United States who can ask the right questions and consume the results of the analysis of Big Data effectively.” This course will prepare you to be a successful professional in a promising career in Big Data analytics.


Introduction to Big Data and Data Analytics
Prerequisite: A bachelor’s degree or 3 years of work experience.
Tuition: $3,695
Date: October 3, 2015 (Saturdays 8:30 AM-5:00 PM) for ten weeks

Advanced Data Analytics
Prerequisite: Introduction to Big Data and Data Analytics
Tuition: $3,695
Date: January 23, 2016 (Saturdays 8:30 AM-5:00 PM) for ten weeks