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
|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.