Sections: Business Analytics (Fall Term 1 2020 ECON-250-WEB)

ECONOMICS 250-WEB Business Analytics
Advances in computer technology have dramatically lowered the cost of gathering data and generating information. Today, organizations in a variety of industries are collecting vast amounts of data and, as a result, there is growing demand for data analytics professionals. Business Analytics integrates economics, statistics, and computer science, and emphasizes quantitative statistical methods in descriptive and predictive analytics such as statistical, mathematical, or numerical analysis of data. The overall objective of the course is to familiarize students with business data (big data), business analytics, and its application in industries. This course introduces fundamental economic concepts and essential statistical tools required to understand business data and analytics. Students will learn how to collect and construct data in a spreadsheet, how to generate data visualization using statistical methods, and how to interpret analytic results to generate insights that lead to better organizational decision making. This course focuses on "hands of" applications using various business data sets and interpretation of results, rather than theory and calculations. Moreover, it covers data mining, simple regression, risk analysis, and simulation. Students use a simple computer software package for data analysis such as Excel or Stata. This course will benefit students interested in Computer Science; Economics; Economics:Finance; Health Services Leadership; Human Resources; Management; Marketing; and Sports Management. Pre-requisite: ECON-135

Section Name: ECON-250-WEB
Departments: ECONOMICS
Prerequisites: Take ECON-135
Academic Level: Undergraduate
Course Type:
Credits: 4
CEUs:
Comments: Web: meets online only Additional fee applies 
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