Data Science : From Simple Terms to Building A Team

Authors

  • Pranav Murali  SRM University, Chennai, Tamil Nadu, India

Keywords:

Prediction Analysis , Machine Learning , Software Package , Statistical Inference , Decision

Abstract

Data science is nothing but answering specific questions with data. It involves dealing with data to make decisions involving real life actions. Data science has various forms. This paper talks about the various topics associated with data science and also gives a brief approach on how to build a data science team. Starting from prediction analysis to software packages, a great deal of topics are covered. The necessary steps in building a successful team to encounter dealing with complex data has been discussed. We talk about various levels of organisations and also their respective priorities when it comes to recruitment of a typical data science team. We also see how that team can be moulded to work in a real life data science company.

References

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  4. Edbrix, http://www.edbrix.com/single- post/2016/05/05/Role- of-Big-Data-and-analytics-in-E-learning.
  5. Data science comparison with big data ,  https://www.simplilearn.com/data-science-vs-big-data-vs-data-analytics-article
  6. https://ori.hhs.gov/education/products/n_illinois_u/datamanagement/datopic.html
  7. https://www.slideshare.net/ArnoldJosephUrieta/data-science-project-presentation-67297315

Downloads

Published

2017-12-31

Issue

Section

Research Articles

How to Cite

[1]
Pranav Murali, " Data Science : From Simple Terms to Building A Team , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.339-344, November-December-2017.