Data Science and Big Data Analytics

Who should attend

The programme is open to the faculty of engineering colleges, degree colleges, MCA colleges and other allied disciplines in Telangana, Andhra Pradesh, Karnataka, Goa, Puducherry and Andaman & Nicobar Islands.

Industry personnel working in the concerned/allied discipline can also attend.

Course Content

• Map Reduce Computing
• Data Science and Models,
Advanced Data Models
• Hadoop Internals, HDFS
• Application of Big Data
and Predicative Analytics
for large rotating machinery
• Big Data Analytics -
The Upside of Disruption
• In-memory Analytics
• SPARK, NEO4J, Sqoop,
Flume, Hive, PIG,
Oozie, POC
• Data Analytics
-Research Challenges
• Case Studies
• NoSQL (MongoDB)
• Classification and
Clustering on Big Data

Registration Fee

Faculty and Research Scholars from Telangana, Andhra Pradesh, Karnataka, Puducherry, Andaman and Nicobar Islands, Goa	Rs. 2500/-
Faculty of SC/ST Category from Telangana, Andhra Pradesh, Karnataka, Puducherry, Andaman and Nicobar Islands, Goa	Rs. 1250/- (SC/ ST participants should submit their caste certificate to claim the concession along with application form)
Industry Participants	Rs. 7500/-
Participants from other states	Rs. 8500/-

SC/ST concession is only for faculty of mentioned states. Research Scholars are not eligible for SC/ST concession.

The Participants need to send a crossed demand draft (DD) drawn in favour of "Director, NIT Warangal" and payable at SBH, NIT Warangal branch
or
On-line Mode:
Account Name: Electronics & ICT Academy NITW
Account No: 62423775910
IFSC Code: SBIN0020149

How to Apply

A filled-in form of application in the prescribed format duly signed and sponsored by appropriate authorities (along with demand draft) should reach the coordinator on or before the last date by post/courier. Participants are requested to write their name and contact number backside of demand draft. It is also mandatory to send scanned application form and demand draft through e-mail to fdpdrkist@gmail.com as selection will be intimated only through e-mail.

Accommodation

Accommodation will be provided to the selective outside participants on prior request. No TA/DA will be paid for the participants. Working Lunch, Tea & Snacks would be provided during the Training in the campus.