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Data Science & Statistics

By Raman Nautiyal
[ Scientist E | Indian Council of Forestry Research & Education (ICFRE) ]




Career in Career-in-Data-Science-&-Statistics
Data Science & Statistics
Raman Nautiyal
Scientist E | Indian Council of Forestry Research & Education (ICFRE)
[ 20 years & 10 months Experience ]



LifePage Career Talk on Data Science & Statistics

http://www.lifepage.in/Career.php?id=20180602-0001&in=Career-in-Data-Science-&-Statistics

Full Talk: https://lifepage.app.link/20180602-0001
Trailer: https://www.youtube.com/watch?v=Gel9tVj-q4E

By Raman Nautiyal
[Scientist E in Indian Council of Forestry Research & Education (ICFRE)]

What is Data Science & Statistics?

Raman Nautiyal: "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. Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data."

How I got into Data Science & Statistics?

Raman Nautiyal: "I did Bachelors in Statistics, Maths & Economics from DAV College, Dehradun. I then did Masters in Statistics from the same college. I am pursuing my Ph D in Statistics from Kumaon University. I am a Scientist E at Indian Council of Forestry Research & Education (ICFRE)."

Raman Nautiyal's LifePage:

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

(Data Science & Statistics, Raman Nautiyal, Indian Council of Forestry Research & Education, ICFRE, Scientist E, Statistician, Researcher, Numbers)





[This Career Talk covers]

  What Is:
     1) Data Science & Statistics  
  Education:
     2) Statistics  
     3) Mathematics  
     4) Programming & Software Development  
  Skills:
     5) Logical Thinking  
     6) Drawing Inferences  
     7) Pattern Recognition  
     8) Quantitative Aptitude  
     9) Love for Numbers  
     10) Patience  
  Positives:
     11) Wide Horizon  
     12) Increase in Cognitive Ability  
     13) Helping People  
     14) Respect & Recognition  
     15) Fun to Teach  
     16) Monetary Potential  
  Challenges:
     17) Understanding Mathematics  
     18) Keeping Yourself Updated  
     19) Influx of Data Scientists  
  A Day Of:
     20) Data Science & Statistics  










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