Open AccessPerforming Examination on H1B Visa using Data Analytics Techniques to Enhance the Employability Skills
Author(s) -
Pranav Kanth A*,
M Prasanth,
T Suthan
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a3128.109119
Subject(s) - employability , salary , python (programming language) , data science , analytics , visualization , certification , computer science , data analysis , set (abstract data type) , data mining , management , economics , market economy , programming language , operating system , economic growth
Data is useless without the skill to analyse it. Technology professional’s expertise in Data engineering are in high demand. The number of job postings related to Analytics has increased substantially. This paper provides a complete analysis on the H1B visa applicants. The analysis is based on the job positions, number of petitions filed by industry every year, demanding jobs with hike salary etc. The data set has been collected from The Office of Foreign Labour Certification (OFLC), the department responsible for issuing H1B. The Data visualization technique is used mainly to perform the analysis with respect to various parameters. This visualisation is done with the help of base map, a library in python for data science. The analysis report will provide a better enhancement in providing employability on skill based.