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• Master of Science Degree in Applied Predictive Analytics Covering the Core Data Science Methods Used in Supervised and Unsupervised Learning. Additionally, Applied Courses in Categorical Data Analysis, Text Mining, Advanced Web Analytics/Mining, and Genomic Data Mining. Implemented Solutions Using Ibm Spss Pasw Modeler (Formerly Known as Clementine), R Language and Weka. Some Use of Rapidminer and Knime. Thesis Titled &Quot;Consumer Sentiment Analysis of Twitter : A Multi-Industry Analysis&Quot;, 2016 - Text-Based Classification of Tweets by Sentiment Using Machine Learning Algorithms &Amp; Topic Modelling Using R. See Details Here: Http://Web.Ccsu.Edu/Datamining/Master.Html
• Fundamentals of Economic Theories as They Apply to the Environment, Education, Economic Development, Healthcare, Public Finance, Social Welfare and Other Pressing Public Issues. the Broad Curriculum Combines the Latest Theoretical Advances with the Analytical Skills and Practical Experience. Http://Aysps.Gsu.Edu/Economics/Master-Arts-Economics/#1515779820396-868c2dea-A484