Data Analytics

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At Communiversity and Cincinnati State, we recognize the value and importance of business professionals to develop and grow their skills and expertise to remain competitive in a highly demanding job market. Communiversity is excited to partner with Cincinnati State in offering a new Introduction to Data Analytics for Business Professionals course.

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Data analytics is an in-demand skill that is key to every business. This course will focus on getting business professionals, at various levels, comfortable with using data to provide actionable insight into your businesses through planning, analysis, interpretation, and communication. This is a process of identifying problems, gathering and analyzing data that can help address the problem, studying the results, and recommending a solution to the problem.

Your instructor, Michelle Ford, an expert in data analysis, is the eLearning Data Analyst - BI Specialist in the eLearning Analytics department at the University of Cincinnati. Prior to working at the University of Cincinnati, Michelle worked as Research Analyst for Cincinnati State Technical and Community College. Michelle is passionate about statistical data analysis, data-informed decision making, continuous improvement and analytical tools in higher education. Michelle has been a member of the American Statistical Association since 2011 and of the Ohio Association of Institutional Research since 2013. She is also involved in a community data collaborative through the Strive Partnership, analyzing data on STEM success in higher education in Cincinnati and Northern Kentucky. Michelle holds a M.S. in operations and project management, concentrating in data analytics from Southern New Hampshire University; a graduate certificate in quantitative analysis from Southern New Hampshire University; and a B.L.S. in business statistics from Purdue University.

During this course, we will utilize Excel as a simple way to analyze and visualize data and will highlight other resources for communicating with data through data visualization. You should be prepared to use your own examples of business problems that you would like to solve with data.

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Register for this class below.