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• A One Year Intensive Data Analytics / Data Science Program, Focusing on Applying Statistical and Machine Learning Methods to Develop Actionable Results, Documenting the Process Through Case Studies from Diverse Fields Such as Finance, Healthcare and Marketing. Relevant Coursework: * Statistical and Machine Learning * Big Data Tools &Amp; Techniques * Data Analytics Visualization and Communications * Data Driven Decision Making and Design * Time Series Analysis * Algorithms * Python for Machine Learning * R for Exploratory Data Analysis, Visualization and Machine Learning
• Activities and Societies: Asmespecialized in Thin Film Technology and Nanoscale Augmentation of Metal. Thesis Title: the Effect of Strain and Path Change on the Mechanical Properties and Microstructural Evolution of Ufg if Steel Subjected to Ecae. Major Professor: Dr. Ibrahim Karaman. Recipient, Charles Crawford Graduate Fellowship and College of Engineering Endowed Fellowship.