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Saturday, October 26, 2019

Word of the Day - Data scientists | Definitions - WhatIs.com

A data scientist is a professional responsible for collecting, analyzing and interpreting extremely large amounts of data by Margaret Rouse, WhatIs.com - TechTarget.

Photo: Trending Topics 2019 via Flickr.
The data scientist role is an offshoot of several traditional technical roles, including mathematician, scientist, statistician and computer professional. This job requires the use of advanced analytics technologies, including machine learning and predictive modeling.

A data scientist requires large amounts of data to develop hypotheses, make inferences, and analyze customer and market trends. Basic responsibilities include gathering and analyzing data, using various types of analytics and reporting tools to detect patterns, trends and relationships in data sets.

In business, data scientists typically work in teams to mine big data for information that can be used to predict customer behavior and identify new revenue opportunities. In many organizations, data scientists are also responsible for setting best practices for collecting data, using analysis tools and interpreting data.

The demand for data science skills has grown significantly over the years, as companies look to glean useful information from big data, the voluminous amounts of structured, unstructured and semi-structured data that a large enterprise or internet of things produces and collects...

Education, training and certifications 
The education requirements for data scientists typically include an advanced degree in statistics, data science, computer science or mathematics. There are a number of certification opportunities for this role, including Dell EMC DECA-DS, MCSA: Various SQL/Data Engineering Options, Microsoft MCSE Data Management and Analytics, and Certified Analytics Professional...

Education.  
Data scientists usually have at least a bachelor's degree in mathematics, data analytics, computer science or statistics. On the other hand, citizen data scientists might have a wide variety of educational backgrounds, but have experience with analytical tools and software that makes them better able to create models and perform complex analyses without a formal education in the aforementioned fields.  

History of data science

Concise survey of computer methods

Naur in 2008
Photo: Wikipedia, the free encyclopedia
Data science is largely a branch of computer science. The term was first used in 1960 by Peter Naur, who was a pioneer in computer science. He described the foundational aspects of the techniques and approaches used in data science in his 1974 book, Concise Survey of Computer Methods.
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Source: WhatIs.com