BAN - Business Analytics

This course introduces business forecasting which involves the process and use of predictive models in business practice. Business analytics is a process of analysis, examining qualitative and quantitative data to identify problems and assist business leaders in decision making. The course supports the ability to research, analyze, report and interpret statistical information used in the forecasting and decision-making process. The course includes the most widely used approaches, tools, models and methods in predictive data science. Automation tools that support the analytics process are put to practice. Students identify key areas of information for business management, evaluate both quantitative and qualitative data, and prepare reports that communicate results. Upon successful completion of this course, students will be able to connect meaning to large amounts of data in order to drive strategic business decisions.

This course discusses the benefits of utilizing analytics and a structured approach to problem-solving in management situations, including the importance of data governance. Students will learn about the capabilities and challenges of data-driven business decision-making through hands-on experience of reviewing data, methods, and fact-based management to support and improve decision making. Upon successful course completion, students will be able to use data as an asset in an organization to make competitive business decisions. 

This transformative course equips students with the necessary tools for analytics-driven organizations while incorporating cutting-edge technologies such as Artificial Intelligence (AI) and leveraging the power of Chat GPT, an AI language model. Students will explore Excel tools for data manipulation, retrieval, and analysis from business systems. By integrating AI, students will gain insights into the advanced applications of AI in analytics, enabling them to collect and display aggregate data, analyze results, identify weaknesses, and alert decision-makers to unforeseen circumstances. Through hands-on exercises and discussions, students will develop proficiency in Excel tools while harnessing the transformative potential of AI to drive data-driven decision-making and organizational success.

This course will introduce students to data mining and how organizations use data analysis for making business decisions. Students will learn the processes of data mining and cleaning, as well as the ethical issues associated with data mining. Upon successful course completion, students will be able to implement a variety of data mining algorithms and techniques to develop an accurate predictive model for confronting business problems and opportunities.

This course introduces students to optimization as a common form of decision-making in an organization. Students will learn a modeling approach to making data-driven decisions. Upon successful completion of the course, students will be able to apply optimization to solve challenging problems and leverage a corporate advantage.

This course evaluates the framework of methods and software available for tackling operational challenges quantitatively. Students will learn how to gather relevant data that provides insights into real-world business challenges. Upon successful course completion, students will be able to use data to match need with demand to appropriately operationalize and plan workflows that predict positive outcomes. 

This transformative course equips students with the necessary tools for analytics-driven organizations while incorporating cutting-edge technologies such as Artificial Intelligence (AI) and leveraging the power of Chat GPT, an AI language model. Students will explore Excel tools for data manipulation, retrieval, and analysis from business systems. By integrating AI, students will gain insights into the advanced applications of AI in analytics, enabling them to collect and display aggregate data, analyze results, identify weaknesses, and alert decision-makers to unforeseen circumstances. Through hands-on exercises and discussions, students will develop proficiency in Excel tools while harnessing the transformative potential of AI to drive data-driven decision-making and organizational success.

This course builds on the fundamental knowledge and skills for applying management science models to business decision making. Students will apply business software to decision analysis, risk models, and optimization models. Upon successful completion of this course, students will be able to create technical reports for use in decision making.