National Seminar on Statistics, Big data and Data Science


21st – 22nd November, 2019

Organized by

Department of Statistics
North Eastern Hill Universirty
Shillong – 793022

Scope and Objective:

Today’s technology driven world generates a huge amount of data every moment and as per an estimate by Forbes, about 1.7 megabytes of new information will be created for every human being per second by the year 2020. The challenges posed by huge amount of data demands for a multidisciplinary approach in storing, organizing and analyzing the information at hand. The fields of enquiry emerging for the purpose go by the names Big data, Data analytics and Data Science. To understand the nature of these emerging areas and their interrelation it is important to know the basics.

While statistics as a scientific discipline developed for the universe in which data were very scarce and the conclusions were to be drawn from small data sets. The tools, methodologies, models, and inferential procedures used in statistics need not suit well to analyse large heterogeneous databases that include texts, images, videos, or sounds from different populations containing many variables in particular for number of variables more than observations.

The National Seminar is expected to provide a platform to discuss the contemporary issues related to the challenges in analysing Big Data and the journey from Statistics to the modern discipline of Data Science

Important Dates:

  • Last date for submission of Abstract: 7.11.2019
  • Acceptance of Abstract: 11.11.2019
  • Last date for registration 15.11.2019

Registration Fees:

A Registration fee of Rs. 1000/- to be paid online only and a copy of the receipt should be send to the email below:

tkchakrabarty@nehu.ac.in

 

Account holder: Head Department of Statistics
Bank: State Bank of India (NEHU, Branch)
Account Type: Current
Account No: 36274506948
IFSC Code: SBIN0004295

National Advisory Committee

  1. Prof. Probal Chaudhuri, Theoretical Statistics and Mathematics, Indian Statistical Institute, Kolkata.
  2. Prof. S. M. Bendre, Applied Statistics Unit ISI, Chennai.
  3. Dr. Deepayan Sarkar, Theoretical Statistics and Mathematical Units, ISI, New Delhi.
  4. Prof. Bimal Roy, Applied Statistics Unit, Indian Statistical Institute, Kolkata.
  5. Prof. Kalyan Das, Department of Mathematics, IIT Mumbai.
  6. Prof. L Ladu Singh, Vice Chancellor, Bodoland University, Assam.
  7. Prof. S.K. Upadhyay, Department of Statistics, BHU, UP, India.
  8. Prof. Kishore K Das, Department of Statistics, Gauhati University, Assam.

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