Exploring the Knowledge, Skills, and Abilities of Data Science Professionals
Abstract
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.
Degree
M.S.
Advisors
Springer, Purdue University.
Subject Area
Information Technology|Education|Information science
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