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INFO 201
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Data Analysis Software
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Software to analyze data for business and economics applications. This is the first course in the Business Analytics concentration, and is designed for students that do not have any prior background in computer programming.
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INFO 249
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Special Topics in Business Analytics
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This course will enable students who have completed INFO 201 to further their knowledge by learning the basics of other statistical programming environments beyond SAS and R which are covered in the Business Analytics Concentration.
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INFO 259
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Special Topics in Business Analytics
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This 200-level course will enable students who have completed INFO 201 to further their knowledge by learning the basics of data analysis tools and technologies beyond those covered in INFO 301, 302 and 303.
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INFO 301
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Advanced Applied Statistics
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Regression and simulation methods to solve complex problems in business, society, and the public sector. Selection of the correct statistical technique for the particular problem being solved, running statistical analyses using analytics tools that a...
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INFO 302
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SQL and Process Optimization for the Business Analyst
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Introduces common techniques for relational data management, including conceptual modeling and Structured Query Language (SQL). Additionally covers topics from business process re-engineering, with a focus on process modeling, performance assessment...
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INFO 303
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Machine Learning for the Business Analyst
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Process of investigating data through a machine learning lens. Application of machine learning techniques to real-world business use cases. Extract and identify useful features that best represent data, some of the most important machine learning alg...
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INFO 359
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Special Topics in Business Analytics
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This 300-level course will enable students who have completed INFO 201 to further their knowledge by learning more advanced data analysis techniques in programming, relational and non-relational databases, and/or machine learning beyond those covered...
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MGMT 341
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Global Supply Chain Management
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Supply chain from a managerial perspective. Topics will include supply chain network, inventory and distribution systems, globalization and outsourcing. Analytical tools and models to evaluate and improve supply chains performance will be introduced.
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