Course Information

The following four courses comprise the Business Analytics (BA)minor or certificate. If you are completing the certificate, it is important to have experience with Microsoft Excel. Three of the courses are specific to Business Analytics concepts and tools, and the fourth course covers database management concepts. Please read the descriptions of each course below for more information.

Course Descriptions

ISM 3116 Introduction to Business Analytics and Big Data. This course will provide an understanding of data organization, and examine the BI processes and techniques used in transforming data to knowledge and value. Students will also develop skills to analyze data using generally available tools (e.g., EXCEL). The class format consists of discussion of a large number of articles/cases, presentations by business professionals, class lectures and discussions on data modeling and design, and hands-on work with Excel.

ISM 4117 Data Mining and Predictive Analytics. Data mining is a class of analytical techniques that examine a large amount of data to discover new and valuable information. This course is designed to introduce the core concepts of data mining, its techniques, implementation, benefits, and outcome expectations from this new technology. It will also identify industry branches which most benefit from DM (such as retail, target marketing, fraud protection, health care and science, web and e-commerce). XLMiner Data Mining Software will be used to mine real business datasets (in the public domain) and learn to extract knowledge. Various techniques are used and compared such as k-means Clustering, Linear and Logistical Regression, Neural Networks, Decision Trees, Text and Web mining.

ISM 4403 – Advanced Business Analytics. The course is designed to give those with basic Excel knowledge, as well as those with more advanced Excel abilities, more of what organizations need and value for data mining, business analytics, and reporting. Skills such as when and how to use pivot tables, macros, automation and integration of downloaded data into reports with one click, form creation, graphing and the use of simulation and decision support models are all are covered in a hands-on lab setting using Excel 2010 and VBA. Topics include Dashboards, Executive Information Systems, Key Performance Indicators, Critical Success Factors, and more.

ISM 4212 Database Management Systems. A survey of file organization structures, data models, database design and database security. Students will reinforce learning of basic database concepts such as tables, relationships and queries. They will be introduced to advanced concepts such as normalization, instance charts, SQL Code with an emphasis on database design. Software will be used to create relationship diagrams. Students will build proficiency in use of SQL to create, populate and query a database. use queries to answer business questions relevant to their project.

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