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Computer Science and Education in Computer Science. 18th EAI International Conference, CSECS 2022, On-Site and Virtual Event, June 24-27, 2022, Proceedings

Research Article

Improving Student Employability with Python and SQL

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-17292-2_24,
        author={Hanbo Yu},
        title={Improving Student Employability with Python and SQL},
        proceedings={Computer Science and Education in Computer Science. 18th EAI International Conference, CSECS 2022,  On-Site and Virtual Event, June 24-27, 2022, Proceedings},
        proceedings_a={CSECS},
        year={2022},
        month={11},
        keywords={Python SQL Algorithms Data structure Standard Operating Procedure Employability improvement},
        doi={10.1007/978-3-031-17292-2_24}
    }
    
  • Hanbo Yu
    Year: 2022
    Improving Student Employability with Python and SQL
    CSECS
    Springer
    DOI: 10.1007/978-3-031-17292-2_24
Hanbo Yu1,*
  • 1: Department of Administrative Sciences, Boston University Metropolitan College, Boston
*Contact email: yuhanbo@bu.edu

Abstract

This paper introduces the author’s educational approaches and achievements related to analytical and technical skills required by companies during the hiring processes of graduates in MS in business analytics. The author mainly focuses on Python and SQL, the core competencies that many employers currently value significantly. In this paper, the author shares his experiences on curricula development and execution of an elective course, AD 599 Introduction to Python and SQL for Business Analytics at Boston University, such as introducing data structures and algorithms to students and designing standard operating procedures for data projects, improving the employability for students by preparing students for technical job interviews such as job description cracking analysis and real-life data challenge bank building, lessons learned, and prospects of future.

Keywords
Python SQL Algorithms Data structure Standard Operating Procedure Employability improvement
Published
2022-11-03
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-17292-2_24
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