Business Analytics

This course aims to help students apply different data analysis software-based tools to improve their results evaluation and decision-making skills. It starts with the conceptualization of empirical research and concludes with a visual display of research findings to target audiences. It provides students with a good conceptual understanding of the research process as well as practical skills in analytics and visualization necessary to model data and predict solutions to business problems.

Predictive analytics involves the art of data exploration, visualization, and communication as well as the science of analyzing large quantities of data in order to discover meaningful patterns and generate insights to support decision-making. The primary objective of this course is to introduce various techniques available to extract useful information from the large volume of data an organization can use. Through this course, students will become more competent in extracting the business value from the rich data. This course will cover the concepts, principles, methodologies, and emerging trends in data mining and predictive analytics.

This course uses Microsoft'92s new Power Tools (Power Pivot, Power Query and Power BI Desktop) to convert real world large data sets into useful information for business decision making. Students will learn how to transform data, load data, and convert the loaded data into useful information for reporting, visualizing, analytics and dashboarding.

This course will provide the students with an understanding of how organizations can leverage data science and analytics to gain competitive advantage and how to use the data to align with a company'92s mission and goals. Students will learn how organizations derive business value/impact, and return on investment, and the importance of interpreting and communicating the business case.