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Teaching & Research in Data Science

By Dr Kingshuk Srivastava
[ Assistant Professor | UPES ]




Career in Career-in-Teaching-&-Research-in-Data-Science
Teaching & Research in Data Science
Dr Kingshuk Srivastava
Assistant Professor | UPES
[ 9 years Experience ]



LifePage Career Talk on Teaching & Research in Data Science

http://www.lifepage.in/Career.php?id=20180714-0001&in=Career-in-Teaching-&-Research-in-Data-Science

Full Talk: https://lifepage.app.link/20180714-0001
Trailer:

By Dr Kingshuk Srivastava
[Assistant Professor in UPES]

What is Teaching & Research in Data Science?

Dr Kingshuk Srivastava: "Teaching and Research in Data science of three words teaching, research and data science so first of all what is teaching so teaching is the art and science of helping others to grow in their knowledge and understanding. It is holding the hand of a young one and saying it's going to be OK. Teaching is being careful that you acknowledge every student ever. On the other hand research is a careful and detailed study into a specific problem, concern, or issue using the scientific method. It's the adult form of the science fair projects back in elementary school, where you try and learn something by performing an experiment. Data science is a multidisciplinary blend of data inference, algorithmm development, and technology in order to solve analytically complex problems. Data Science can be applied to a data set with one thousand lines, there is no problem with this."

How I got into Teaching & Research in Data Science?

Dr Kingshuk Srivastava: "After completing my B Sc in Physics & M Sc in Electronics from Lalit Narayan Mithila University, I did M Tech in Information Technology & Ph D in Computer Science Engineering from University of Petroleum & Energy Studies (UPES). I am an Assistant Professor Selection Grade at University of Petroleum & Energy Studies, Dehradun."

(Teaching & Research in Data Science, Dr Kingshuk Srivastava, UPES, Assistant Professor Selection Grade, Teacher, Data Scientist)





[This Career Talk covers]

  What Is:
     1) Teaching & Research in Data Science  
  Education:
     2) Data Mining  
     3) Data Warehousing  
     4) AI & Machine Learning  
     5) Database Management System  
     6) Computer System Architecture  
     7) Data Structures  
     8) Statistics  
  Skills:
     9) Tools  
     10) Communication & Presentation Skills  
     11) Interpersonal Skills  
     12) Mathematical Skills  
     13) Analytical & Problem Solving Skills  
  Positives:
     14) Sense of Contribution  
     15) Opportunity for Research  
     16) Fun Job  
     17) Work Life Balance  
  Challenges:
     18) Maintaining Dignity  
     19) Less Money  
     20) Keeping Up with Technology  
  A Day Of:
     21) Teaching & Research in Data Science  










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