Using Data Analytics Techniques to Perform H1b Visa Analysis to Improve Employability Skills.

Abstract

Information is pointless without the ability to investigate it. Data engineering expertise is in high demand among technology professionals. The number of Analytics-related job openings has significantly increased. This paper gives a total investigation on the H1B visa candidates. The investigation depends hands on positions, number of petitions recorded by industry consistently, requesting position with climb compensation and so forth. The informational index has been gathered from The Workplace of Unfamiliar Work Certificate (OFLC), the division liable for giving H1B. The Information perception procedure is utilized fundamentally to play out the examination regarding different boundaries. Base Map, a Python data science library, is utilized in this visualization. The examination report will give a superior improvement in giving employability on expertise based.