Knowledge, Skills, and Abilities (KSAs) of Data Science Professionals

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By Corey S Seliger

Purdue University

A study examining relationships between employer requirements for data scientists and the educational curriculum provided by higher education institutions.

Version 1.0 - published on 25 Jul 2018 doi:10.4231/R76971TF - cite this Archived on 25 Aug 2018

Licensed under CC0 1.0 Universal

Description

The field of data science is growing at break-neck speeds. More industries are looking towards data science professionals to find, compile, explore, and model data from numerous areas of interest. Currently, there are over 130,000 data science positions open. Professional training and institutions of higher education are unable to train enough individuals to place into these positions. Initial research in this space has started reviewing some of the data in this space, including determining the knowledge, skills, and abilities (KSAs) employers seek in data science candidates and what institutions are providing in the means of preparation in this space. With the general problem of too many data science positions and not enough professionals to fill them, this research intends to take a grounded theory approach to evaluating the data sources, looking for emergent theories that may provide additional understanding for how to solve that overarching problem.

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