Blog entry by Orji Anyianuka
From the data analytics course outline, these are the things to expect:
Description and Content
Business Analytics refers to the body of knowledge involving quantitative approaches to decision making.
The topics are drawn from diverse areas, such as Management Science (MS), Operations Research (OR), Decision Science, Business Statistics and Business Analytics. These topics range from Inferential statistics, Hypothesis testing, Regression analysis, Probability analysis, Decision science, Preference theory, Utility and Game Theory, Forecasting and Time Series, Linear Programming, Measures of Profitability and Time Value of Money, Inventory Models, Waiting Line Models, Project Scheduling, Network Models, Simulation, Markov Processes etc.
The course is expected to be focused on practical applications of the concepts and communication of the results and recommendations, and to use a problem scenario approach.
Goals for the Course
become familiar with the terminology, basic tools and concepts of management science and scientific approach to decision making,
become proficient in techniques of analyzing real-world operational situations using spreadsheet software and interpret the results of the quantitative and computational analysis of a decision problem.
become able to construct and analyze decision trees for business decision making.
gain an appreciation of the importance of Linear programming in solving business problems.
Software:
Microsoft Excel 2010 and Microsoft BI