RSAN 101
Foundations of Data Science and Analytics
This course provides a foundation of the history, concepts, purpose and application of both data science and analytics in a business environment. This includes the methods of data collection, preparation, analysis, visualization, management, security and preservation of large sets of information. Also covered in the course are the primary methods of analytics, including predictive, prescriptive, and descriptive. The course will examine the various uses of analytics and how these methods identify and leverage competitive advantage in the era of ever-growing information requirements. The course will utilize case studies, trends, techniques, and best practices as it examines the topics of data science and analytics.