●  How does prescriptive analytics relate to descriptive analytics?

●  Excel is probably the most popular spreadsheet software for PCs. Why? 

●  What can we do with this package that makes it so attractive for modeling efforts?

●  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

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