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What it takes to become a Data Scientist?

Dni Institute
29/11/2016 0 1

Most of the research organizations and industry leading publications suggested a huge shortage of persons with deep Data Science skills. Also, increasing number of candidates are aspiring to become a Data Scientist. 

If you spend some time searching  - " What is Data Science?", "What skills are required to become a successful Data Scientist?", you will find volume of articles and with varied views on these questions. 

One extreme view suggests- Data Scientist is a person with skills and knowledge  of anything under the sun. From hacking skills to leadership skills, but we all have limited time if not the capacity to learn and master these skills. 

In our views one should have 3 skills which are foundation to Data Science and these are

  • Quantitative Skills : Knowledge of Statistical, Mathematical and Machine Learning Methods. In each of the Data Science project you will using these skills.  For example, you will be optimizing routes of shared cabs or finding next best interactions for a customer.
  • Tools and Technology: Data new oil for industry or data could be a competitive advantage. A data scientist needs to be able to access, manipulate and model the data for creating insights for Decisions. Some of the analytics tools are R, SAS , Python etc. Big Data and other database knowledge also becomes imperative. 
  • Functional and Domain Knowledge: Data Science facilitates better decisions. Decisions are linked to a context. So understanding of business context is important to build models or analytics which could be implemented

Problem solving, communication and interpersonal skills are probably common to any of the professional career steam. 

DNI Institute helps aspiring Data Scientists to acquire these skills and effectively. Happy Data Science Learning.


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Harendran Bala | 19/06/2017

Plagiaristic content.

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