A Systematic Review of Data Analytics Job Requirements and Online-Courses. Issue 2 (4th March 2022)

• Record Type: Journal Article
• Authors: Almgerbi, Mohamad; De Mauro, Andrea; Kahlawi, Adham; Poggioni, Valentina
• Is Part Of: Journal of computer information systems. Volume 62:Issue 2(2022)
• Page Start: 422
• Page End: 434
• Publication Date: 2022-03-04
• Subjects: Data Analytics -- Data Science -- Big Data -- human resources management -- topic modeling -- online education; Electronic data processing -- Study and teaching -- Periodicals; 658.4038011
• DOI: 10.1080/08874417.2021.1971579
• Languages: English
• ISSNs: 0887-4417

Abstract

ABSTRACT: Data analytics' growing importance in modern business has left many organizations unprepared in terms of human talent. This study sheds light on the intersection between the analytics job skills currently in demand and the offer of massive online open courses for developing them. We have scraped from the web the description of more than 14, 000 job posts and 3, 600 Data Analytics online courses to systematically capture the need for data skills and available learning opportunities. By using an original combination of topic modeling and text mining algorithms, we provide a systematic mapping of educational offers with business needs, quantifying their presence and identifying gaps. Our study enables both educational providers to improve their offering on Data Analytics and Human Resources professionals to identify skill development opportunities. Additionally, we introduce a general methodology able to produce systematic mappings of job skills and learning opportunities in any domain.