Research Article
Improving Student Employability with Python and SQL
@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
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.
