Organizing
Department: DEPARTMENT OF INFORMATION
TECHNOLOGY
Event Date: 12/11/2017 -- 12/23/2017
(MM/DD/YYYY)
Last Date: 11/27/2017 (MM/DD/YYYY)
Address: THOOTHUKUDI DISTRICT, Tamilnadu, India
Registration Fee:
REGISTRATION IS FREE FOR FACULTY FROM AICTE APPROVED
INSTITUTIONS
College/University/Organization Website: http://nec.edu.in/
Event Website / Brochure link: http://nec.edu.in/it.php
Email Address: fdpdsit17@nec.edu.in
About Event:
• Imparts the research
competence and enhances the quality of
research by developing
data analytical capabilities to
facilitate programming, decision
making and research
publications
• Deploy the analytical Life cycle to analyse large voluminous data projects
• Applying appropriate analytic techniques and tools to analyze big data, create statistical models, and identify insights that can lead to actionable results.
• Create new ideas for the next generation of products, patents and services.
• Familiar with tools R and RStudio, MapReduce/Hadoop,Spark
• Advances their research in real applications of big data (Big Data Analytics in e-Government and Society, Healthcare, Transportation, Business etc.)
Expected Outcomes:
• ability to work with datasets and databases.
• ability to analyze data using statistical and machine learning methods.
• Have knowledge to work with different type of datasets and also will have the ability to create new methods to gather, interpret, and analyze a data strategy.
• Demonstrate knowledge of statistical data analysis techniques used in decision making
• Apply principles of Data Science to the analysis of large-scale problems
• Work with R and Hadoop to analyze structured, unstructured, and big data
• Deploy the analytical Life cycle to analyse large voluminous data projects
• Applying appropriate analytic techniques and tools to analyze big data, create statistical models, and identify insights that can lead to actionable results.
• Create new ideas for the next generation of products, patents and services.
• Familiar with tools R and RStudio, MapReduce/Hadoop,Spark
• Advances their research in real applications of big data (Big Data Analytics in e-Government and Society, Healthcare, Transportation, Business etc.)
Expected Outcomes:
• ability to work with datasets and databases.
• ability to analyze data using statistical and machine learning methods.
• Have knowledge to work with different type of datasets and also will have the ability to create new methods to gather, interpret, and analyze a data strategy.
• Demonstrate knowledge of statistical data analysis techniques used in decision making
• Apply principles of Data Science to the analysis of large-scale problems
• Work with R and Hadoop to analyze structured, unstructured, and big data
Who Can
Participate?
Professionals
from all Research, Academic & Corporate affiliated to AICTE
Accommodation
Details:
yes,accommodation
is provided for out station participants at free of cost inside the premises.
Other Details:
In the next few years, we will be routinely trying to use
petabytes of data stored in multiple formats across different platforms. The
volume and diversity of data make it extremely challenging to store, retrieve,
analyze and utilize this information. Business, government agencies, and
society needs experts with the skills and knowledge to design, develop and
deploy complex information systems and applications that deal with
multi-terabyte data sets
Contact Details:
Dr.
M.Kaliappan,Asso.Prof / IT,National Engineering College
Ph:9003613335
S.Vimal,AP(Senior Grade) / IT,National Engineering college,
ph:9940894402
Ph:9003613335
S.Vimal,AP(Senior Grade) / IT,National Engineering college,
ph:9940894402
For any
clarification about this event, please contact the above mentioned address.
AICTE
SPONSORED FDP ON "DATA SCIENCE RESEARCH AND BIG DATA ANALYTICS"-2017-NATIONAL
ENGINEERING COLLEGE,KOVIPATTI-THOOTHUKUDI DISTRICT-Tamilnadu-India
See Also
DATA SCIENCE 2017-THOOTHUKUDI DISTRICT-2017-NATIONAL ENGINEERING
COLLEGE,KOVIPATTI-tamilnadu