Big Data Predictive Analytic (Advanced) Training program
This course is intended for those who have elementary knowledge of Hadoop ETL layer and want to get deeper into Machine learning techniques implementation in Hadoop.
The course incorporates an introduction to Big Data, the Data Analytics lifecycle, machine learning, R & R Studio, as well as Hadoop (MapReduce, HDFS, Storm, Kafka, Cassandra).
This course will be taught by industry experts, Dominique A. Heger Ph.D. and Dr. Alain Biem. Together they have 30+ years of experience with IBM, HP, Oracle/Sun, Dell, and SGI SMP and MPP systems architecture, cluster (Hadoop), GRID, and Cloud Computing, UNIX/Linux operating systems, I/O subsystem performance,algorithms and data structures, performance modeling and simulation, operations research, network and cluster technologies, telecommunication (VoIP), and all phases of the software development life cycle. Alain Biem is a Senior Research Scientist and Project Lead at IBM Research in New York, where he has contributed or led various research and development projects in the area of Big Data, predictive analytics, time series processing, distributed processing, information management, and business modeling.
There will be Lab exercises focused on introducing Data Analytics, the Hadoop Ecosystem and Machine Learning by utilizing actual Hadoop and Storm clusters, machine learning models, and R & R Studio.
Also we will get the certified students connected with the largest and most notable Big Data staffing company in Silicon Valley, DC, New York and Boston.
This 6-week, 24 hrs course will offer a comprehensive outline of how to extract the knowledge from structured and unstructured data frommultiple domains.
Class starts from Monday, March 24th, 2013.
We are offering a 25% discount on tuition for the first 20 students.
Total Weeks: 6; # of sessions/week: 2 (Monday & Friday)
# of sessions: 24 (12 sessions, 2-hrs each)
Please register at http://autopredictivecoding.com/big-data-predictive-analytic/
Students will get certificate from DHS Technologies (http://dhtusa.com/5852.html