Companies are relying more heavily on data-driven decision-making than ever before. The business analytics concentration explores how professionals in today's fast-paced world are using the methodical exploration of an organization's data, with an emphasis on statistical analysis to reshape organizations. Students may pursue a graduate certificate, advanced graduate certificate, or MBA concentration in this area.
Students may pursue a graduate certificate, advanced graduate certificate, or MBA concentration in this area.
Business Data Analytics Data analytics is incorporated by companies to assist in formulating decisions. In this course, students will experience and train in various applications for collecting data, data representation, storing, modeling, analyzing and making inferences. The content for this core course focuses on the subject matter from the field of business. The proper techniques, procedures, and technology will be applied to real-world scenarios. Students will develop the necessary problem solving and critical thinking skills in the field of data analytics. Prerequisite: Business Analytics: Data, Models, and Decisions 3 cr |
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Business Experimental Design In this technology-oriented world, data is considered the new international currency. The design, implementation, and limitations of experiments are explored in this course. Modern techniques for the analysis and modeling of data are investigated through inquiry in research related to business. The course is the culmination of students visualizing data, sharing data in real time, and ultimately using this information to formulate accurate and quick decisions grounded in data analytics. Prerequisite: Business Analytics: Data, Models, and Decisions 3 cr |
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Data and Business Analytics with R Students will utilize the R Programming software environment to develop coding and conceptual skills for advanced analytical models. Programming language concepts are covered within the context of hands-on projects, business applications, and implementing organizational analysis goals. Concepts such as reading data into R, writing functions, debugging, and documentation in R will be covered. Prerequisite: Business Analytics: Data, Models, and Decisions 3 cr |