Join us for 10 full-day sessions spread over ten Saturdays to gain a comprehensive understanding of the critical and practical elements of big data analytics. Offered in an applied format, the program includes practice and lab components to address the applications of Big Data in real world situations. Data-related topics include: structure, warehousing, engineering, mining, pattern recognition, trends analysis, relevancy, modeling, predictive and descriptive analytics, visualization techniques and more.

The course also covers the use of Spark Databricks as a distributed computing framework. Successful completion of this highly intensive course can enable students to participate in big data projects as analysts. The course is best suited for individuals and college graduates interested in big data and related analytics careers, managers considering big data projects, and/or individuals who want to advance their business career.

Prerequisite: ECE’s Business Intelligence program or degree or equivalent practical experience in business, banking and finance, supply chain, healthcare, pharma, science, engineering, software, IT and/or analytics is recommended.

Tuition: $3,995 -- Students who have previously completed ECE’s Business Intelligence program are eligible for a 10% discount on Big Data tuition. Contact Hamid Arjmand at for the promo code.

Course Length: 80 hours, 10 Saturdays
Next Course Begins: Saturday, Jun 1 – Aug 10, 2019 (no class Jul 6) / 8:30 a.m. – 5:30 p.m.
Course Length: 80 hours, 10 Saturdays
Next Course Begins: Saturday, Sep 14 – Nov 16, 2019 / 8:30 a.m. – 5:30 p.m.
  • 80 hours, classroom (10 Saturdays)
Optional (no extra cost, highly recommended):
  • 2 hours, pre-program laptop preparation
  • 4 hours, pre-program SQL training
  • 26 hours, weekday online help sessions - remote access
  • 24 hours, post-program tableau capstone project (6 Saturdays)
  • 12 hours, post-program Azure training (4 Saturdays)
  • 3 hours post-program Career enhancement training (one Saturday)
  • Total: 151 available hours (80 required, 71 optional)