Big Data

  • Big Data

  • Big Data

  • Big Data

  • 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. You can take Course 1 as an entry level to the Big Data domain or multiple courses for more advanced level careers in Big Data.


Big Data & Data Analytics

Join us for 10 full-day sessions spread over ten weeks 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. Topics include: data structure, warehousing, data mining and analysis, pattern recognition, trends analysis, data relevancy, data modeling, predictive and descriptive analytics, data visualization techniques and more. The courses also utilizes big data analytical tools and products -- such as Splunk -- as participants gain familiarity with the applications of these products. 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 data related analytics careers; managers considering big data projects; and individuals who want to advance their business career.

Prerequisite: degree or equivalent practical experience in business, science, engineering, software, data processing and/or analytics is recommended
Tuition: $3,995

Course Length: 80 hours, 10 Saturdays
Next Course Begins: Sat, May 6, 2017 - July 29, 2017 , off on May 27th, July 1st and 8th / 8:30 a.m. – 5:30 p.m.
Required:
  • 80 hours, classroom (10 Saturdays)
Optional (but highly recommended):
  • 2 hours, pre-program preparation
  • 30 hours, weekday help sessions + remote access
  • 9 hours, tableau capstone project (3 Saturdays)
  • 9 hours, R language capstone project (3 Saturdays)
  • 9 hours, Splunk Training (3 Saturdays)
  • 3 hours Career enhancement training (one Saturday)
 

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.