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ISSN Number:
2582-8568
Journal DOI No:
03.2021-11278686
Title:
Analyzing Students' Interest in the Information Technology Sector Using Data Science Techniques
Authors:
Cite this Article:
,
Analyzing Students' Interest in the Information Technology Sector Using Data Science Techniques, International Research Journal of Humanities and Interdisciplinary Studies (www.irjhis.com), ISSN : 2582-8568, Special Issue, January 2024 International Conference Organized by V. P. Institute of Management Studies & Research, Sangli (Maharashtra, India), Page No : 82-91,
Available at : http://irjhis.com/paper/IRJHISIC2401011.pdf
Abstract:
The information technology (IT) sector is a rapidly evolving field that plays a crucial role in shaping our digital future. Understanding students' interest in the IT sector is essential for educational institutions, policymakers, and industry professionals. This research paper aims to analyze students' interest in the information technology sector using data science techniques. By applying data science methodologies to collected data, I can gain valuable insights into the factors that influence students' interest in the IT sector, identify trends, and provide recommendations for fostering student engagement and promoting career opportunities in this field. To find out more about students' interest in it sector a well-designed questionnaire in Google Forms is used to poll students from XI, XII and Graduate Students.
Keywords:
IT Sector, Data Science, Data Science Techniques, Career Opportunities, Students Interes, Python
Publication Details:
Published Paper ID: IRJHISIC2401011
Registration ID: 21291
Published In: Special Issue, January 2024 International Conference Organized by V. P. Institute of Management Studies & Research, Sangli (Maharashtra, India)
Page No: 82-91
ISSN Number: 2582-8568
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