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Data Sciences

By Dr T P Singh
[ Professor | UPES ]




Career in Career-in-Data-Sciences
Data Sciences
Dr T P Singh
Professor | UPES
[ 22 years & 4 months Experience ]



LifePage Career Talk on Data Sciences

http://www.lifepage.in/Career.php?id=20181211-0001&in=Career-in-Data-Sciences

Full Talk: https://lifepage.app.link/20181211-0001
Trailer: https://www.youtube.com/watch?v=FAnaqlss4XY

By Dr T P Singh
[Professor in UPES]

What is Data Sciences?

Dr T P Singh: "Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining."

How I got into Data Sciences?

Dr T P Singh: "After completing my education, I started my career with TCS as a DBA. After that, I joined Sharda University as an Associate Professor and worked there for almost 17 years. I am a Professor at UPES since 2017."

Dr T P Singh's LifePage:

http://www.lifepage.in/page/tpsingh

(Data Sciences, Dr T P Singh, UPES, Professor, Scientist, Mining, Researcher, Mathematics, Statistics, Information Science, and Computer Science, IOT, R, Hadoop, Pig, Hive, Data Analytics, Analyst, Data Analysis, Business Analytics, Big Data)





[This Career Talk covers]

  What Is:
     1) Data Sciences  
  Education:
     2) Maths  
     3) Statistics  
     4) Programming Languages  
     5) Business Intelligence  
     6) Internet of Things  
     7) Systems Development Life Cycle  
  Skills:
     8) Problem Solving  
     9) Analytical Skills  
     10) Interpersonal Skills  
     11) Communication Skills  
     12) Software Tools  
     13) Research Orientation  
     14) Independent Thinking  
     15) Management Skills  
  Positives:
     16) Exponentially Growing Field  
     17) High Demand  
     18) Exploring New Ideas  
     19) Cross Functional Domains  
     20) Work Life Balance  
     21) Domain Independence  
  Challenges:
     22) Knowledge Upgradation  
     23) Expected Real Time Response  
     24) Unstructured Data  
     25) Thinking Out of Box  
  A Day Of:
     26) Data Sciences  










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