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Data Analysis Using Python: An Experiential Exercise

Authors:

Shammi Gandhi | (shammi.gandhi@unco.edu)
University of Northern Colorado, Greeley United States
Orcid: 0000-0002-8140-5637
LinkedIn: linkedin

Seyyedmilad Talebzadehhosseini | (milad.talebzadehhosseini@unco.edu)
University of Northern Colorado, Greeley United States
Orcid:
LinkedIn: 

Keywords: data analysis, quantitative software, problem-solving


Abstract: The convergence of management and data analytics has emerged as a crucial domain, empowering organizations to make informed decisions, enhance efficiency, and gain competitive advantages. This paper provides an instructional guide for educators and faculty members seeking to integrate data analytics principles into management education. The guide emphasizes the significance of data analytics proficiency in the field of management, underscoring recent data analytics software’s theoretical underpinnings and practical utilization. The structured framework is designed to engage students with varied backgrounds in data analysis and software proficiency, enabling them to derive meaningful insights and solutions from diverse datasets encountered in real-world business scenarios.

 


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