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Pre-conference workshop on Data Science and Analaytics PSG Coimbatore- only 50 seats
January 5, 2017 @ 8:00 am - 5:00 pmRs.750
Pre-conference workshop on data Data Science and Analaytics at PSG Coimbatore
Organized by: Department of Information Technology, PSG College of Technology, Coimbatore
“Only 50 Students” are allowed on first come first serve basis, grab your opportunity
Last date for registration : 25.12.2016
Fees for Students/Academia/Industry/R&D : Rs.750/-
Take Demand Draft in favour of ‘PSG CNCE’ and send along with Regsitration Form to
Ms T Vairam
ORganizing Secretary, ICIDS 2017
Department of Information Technology
PSG College of Technology
Peelamedu, Coimbatore- 641004, Tamil Nadu, India
Important: This workshop is planned as a pre-conference workshop
About the conference
International Conference on IoT,Data Sciences and Security aims at promoting high quality research by bringing together an international community of researchers and practitioners from academia and industry. It is a forum to communicate and discuss various research findings and innovations in data sciences, IoT and security. These emerging areas provide great scope for research and will help to address several challenges in future. This conference will provide opportunities for the researchers to exchange innovative ideas and establish research relations worldwide. The technical sessions of the conference will consist of key-note addresses and original contributory papers reporting theoretical and experimental research, development, design, testing in three tracks namely Internet of Things (IOT), Data Sciences and Security.
About the Workshop
Data Analytics allows organizations to make better competitive strategies around data-driven insights and attain value from vast amounts of available data. The new world of big data is phenomenon of our time, and its possibilities to improve all aspects of society are limitless. This workshop is intended to nurturing the discussion on this data science, data analytics and skills required to achieve a variety of analytic goals. The main technical issues that will be covered are
- Data mining methods which are used to answer crucial business questions from internal and external data sources
- Data science tools and techniques
- Data Science modules such as describe discover, predict, advice and scale.
- How to create competitive advantage from both structured and unstructured data
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