data mining 27

Define data mining as an enabling technology for business analytics and understand the objectives and benefits of data mining.
Become familiar with the wide range of applications of data mining Learn the standardized data mining processes Learn different methods and algorithms of data mining
Build awareness of the existing data mining software tools Understand the privacy issues, pitfalls, and myths of data mining
Describe text analytics and understand the need for text mining
Differentiate among text analytics, text mining, and data mining and the application areas for text mining
Know the process of carrying out a text mining project
Describe sentiment analysis
Develop familiarity with popular applications of sentiment analysis Learn the common methods for sentiment analysis Become familiar with speech analytics as it relates to sentiment analysis
Understand the applications of prescriptive analytics techniques
Understand the basic concepts of analytical decision modeling and understand the concepts of analytical models for selected decision problems
Describe how spreadsheets can be used for analytical modeling and solutions Explain the basic concepts of optimization and when to use them
Explain what is meant by sensitivity analysis, what-if analysis, and goal seeking Understand the concepts and applications of different types of simulation and understand potential applications of discrete event simulation