Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/166644
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dc.contributor.authorThng, Joelleen_US
dc.date.accessioned2023-05-09T01:39:29Z-
dc.date.available2023-05-09T01:39:29Z-
dc.date.issued2023-
dc.identifier.citationThng, J. (2023). Introduction to Python for finance students. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166644en_US
dc.identifier.urihttps://hdl.handle.net/10356/166644-
dc.description.abstractAs programming becomes a highly valued and sought-after skill in the economy, many universities have started offering Python courses to help students keep up with the demands of employers. This study focuses on designing a university module that effectively educates undergraduate students on financial analysis using Python programming. To better satisfy the specific demands for each sector, this study adopted a qualitative research modus operandi to craft a module that would complement students’ existing financial skills. The lessons were structured using research-backed educational learning tools, and important Python concepts were prudently screened before being included in the syllabus. The course contents were streamlined based on criteria such as ease of learning and versatility. In particular, the skills taught were modelled in a way to ensure they were beneficial for financial data processing and analysis. Through this study, a 6-week course containing the chosen topics and programming applications was carefully constructed for finance students. The findings in this paper will provide valuable insights as to how teaching programming could be customised for students hailing from various academic backgrounds.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.subjectSocial sciences::Educationen_US
dc.titleIntroduction to Python for finance studentsen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLi Fangen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Science in Data Science and Artificial Intelligenceen_US
dc.contributor.supervisoremailASFLi@ntu.edu.sgen_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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