Big Data

Big Data refers to a huge number of diverse, structured and unstructured data created at high rate. Data sources include sensor networks, social networks, medical records, Internet text and documents, genomics, etc. Big Data can be leveraged to identify issues and opportunities not possible via traditional tools and techniques; a variety of industries currently utilize Big Data, including healthcare, retail, manufacturing, finance and government.

As such, the potential for career enhancement is significant -- according to a report published by McKinsey, "The United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of big data."

Our courses will prepare you to be a successful professional with a promising career in Big Data analytics. Students who complete our Big Data program will be candidates for our advanced-level courses – including Applied Machine Learning and Data Science with Python, Artificial Intelligence (AI) & Deep Learning. More advanced-level courses – including Data Engineering, Cloud Computing and Internet of Things (IOT) are in progress and will be available soon.


Big Data & Data Analytics

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 harjman@emory.edu 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.
Required:
  • 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)
 

Upcoming Information Sessions
If you missed our recent information session or cannot attend, please contact Hamid Arjmand at harjman@emory.edu or 404-727-5513.