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ECON 8320  TOOLS FOR DATA ANALYSIS (3 credits)

The course will cover basic principles of programming languages, as well as libraries useful in collecting, cleaning and analyzing data to answer research questions. The course will utilize basic Economic principles and Econometric methods as inspiration for assignments and projects throughout the duration of the course, and will do so in a way that is accessible to non-Economists. This course is intended to introduce the student to the Python programming language as a tool for conducting data analysis. While the course uses Python, the student should be able to move to other languages frequently used in data analysis using the principles taught in this course.

Prerequisite(s): BSAD 2130 or equivalent; or instructor approval.

Business Administration, MBA and Economics, MS (MBA/ECON)

https://catalog.unomaha.edu/graduate/degree-programs-certificates-minors/business-administration/mba-ms-economics/
In a world with increasingly more data, the quantitative focus of the graduate Economics degree is increasingly attractive to students and employers. Businesses generate data at an unprecedented rate, and the econometric and modeling skills of an applied economics degree allows graduates to make sense of business data in a systematic and scientific way. This specialization is enhanced with the broad knowledge provided by an MBA degree. Students in the MBA program demonstrate basic proficiency in a number of business-related disciplines, including marketing, management, accounting, and finance. This wide domain of knowledge allows students to apply the analytical skills learned in economics courses to a wider set of business problems, thereby adding value to their organizations. Students who wish to pursue this option must work closely with an advisor to develop an integrated plan of study at an early stage. Students who complete the dual degree program will receive two degrees, two diplomas, and will have both degrees recorded on their transcript.