TY - JOUR
T1 - Teaching Tip A Foundation Course in Business Analytics
T2 - Design and Implementation at Two Universities
AU - Zhang, Limin
AU - Chen, Fang
AU - Wei, Wei
N1 - Publisher Copyright:
© 2021. All Rights Reserved.
PY - 2020/9
Y1 - 2020/9
N2 - The current data-centric business environment has seen an increasing demand for business students with knowledge and skills in the area of business analytics. This article presents the design and implementation of a foundation business analytics (BA) course for undergraduate business students who aspire to become data-literate professionals or entry-level data analysts. The course design is built around two learning objectives and their corresponding learning outcomes and features five learning modules corresponding to a recently proposed BA pedagogical framework. The implementation of this course at two large universities is described in detail, including the timelines, topics, software tools, assignments, projects, and student feedback. Upon successful completion of the course, students are expected to be able to conduct business analytics at basic to intermediate levels using leading industry tools such as Power Pivot, Power BI, Tableau, or R.
AB - The current data-centric business environment has seen an increasing demand for business students with knowledge and skills in the area of business analytics. This article presents the design and implementation of a foundation business analytics (BA) course for undergraduate business students who aspire to become data-literate professionals or entry-level data analysts. The course design is built around two learning objectives and their corresponding learning outcomes and features five learning modules corresponding to a recently proposed BA pedagogical framework. The implementation of this course at two large universities is described in detail, including the timelines, topics, software tools, assignments, projects, and student feedback. Upon successful completion of the course, students are expected to be able to conduct business analytics at basic to intermediate levels using leading industry tools such as Power Pivot, Power BI, Tableau, or R.
KW - Business analytics
KW - Curriculum design & development
KW - Data visualization
KW - Instructional pedagogy
UR - https://www.scopus.com/pages/publications/85101534762
M3 - Article
AN - SCOPUS:85101534762
SN - 1055-3096
VL - 31
SP - 244
EP - 259
JO - Journal of Information Systems Education
JF - Journal of Information Systems Education
IS - 4
ER -