BUSINESS ANALYTICS AND INTELLIGENCE (2 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: describe the concepts and development of business analytics and intelligence; explain the descriptive analytics in business analytics and intelligence; analyze the predictive analytics in business analytics and intelligence; analyze the perspective analytics in business analytics and intelligence; apply management challenges by using data mining technique.

Topics:

An Overview of Business Intelligence, Analytics, and Data Science; Nature of Data, Statistical Modelling; Business Intelligence and Data Warehousing;  Data Mining Process, Methods, and Algorithms; Data Preparation and Correlation Using Rapid Miner; Associations Using Rapid Miner; K-Means Clustering Using Rapid Miner; Discriminant Analysis Using Rapid Miner; Linier Regression Using Rapid Miner; Logistic Regression Using Rapid Miner;  Decision Trees Using Rapid Miner; Neural Network Using Rapid Miner; Text Mining Using Rapid Miner.