Jyoti Nigania

Hi,i am writing blogs for our platform House of Bots on Artificial Intelligence, Machine Learning, Chatbots, Automation etc after completing my MBA degree. ...

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Hi,i am writing blogs for our platform House of Bots on Artificial Intelligence, Machine Learning, Chatbots, Automation etc after completing my MBA degree.

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Data Psychology: The Future of Data Scientists

By Jyoti Nigania |Email | Jun 18, 2018 | 3900 Views

Based on historical data and accurately predicting some patterns out of it then, Data science comes into the picture. Data Science is the data driven decision making and building business strategies based on data analysis by removing any manual or judgmental error. Data Science is everywhere and here is the rescue for how to be a data scientist. Data scientists basically deal with huge no of both the data whether structured or not structured and the future of data scientists will be data psychology. 

Thus, Gartner recently predict that more than 40% of data scientist's task will be automated by 2020. The primary function of data science is to choose accurate predictive models based on analyzing and understanding the large number of data sets. Data scientists asked to maintain, obtain and continuously have to improve the skill of processing data by deep understanding and of various applications:
  • Database infrastructure and processing
  • Scripting languages like Python, etc.
  • Statistical computation: R, etc.
  • Machine learning
  • Experimental design
  • Bayesian differencing
  • Data visualization
  • Data storytelling
  • Data psychology 

Decision Making and Data Psychology: 
Data science remains a buzzword nowadays. Data scientists are in great demand and the decision making largely depend on their internal psychology. When human beings make a decision, their thought process is interconnected to the individual perception and this is the best course of action.  This process is called as inferencing.  The skills required by data scientists is more easily developed than the soft skills that only human beings can own. Organization can train data scientists in house of their hard skills. The "data science" involves several meaningful categories of skillsets and as a result there are diverse types of "data scientists" who differ by their training. Many disciplines use data science but would not consider their profession to be that of a data scientist. Not all data scientists have the skills to work with big data and it is rare to find a data scientist who is proficient in all three areas of data science skills: subject matter expertise, technology and statistics. 

Hence, a data scientist is someone who is better at statistics. Yes, Data Science is on pace and the hottest demanding role right now both form companies and employee's perspective hence it is the highest paid field to get into.

Source: HOB