Enterprise Intelligence Development

Catalog description

The purpose of this course is for students to gain a solid foundation in the most important tools and strategies for addressing three common challenges in enterprise business intelligence: (1) reducing the time needed to produce insightful metrics and reports; (2) freeing data trapped inside of legacy tools and federated data sources; and, (3) providing a centralized framework for user interaction and consumption of analysis, reports and curated data. Students will use R and Python to ingest, model, analyze data, and report their results, and work with several popular database environments (e.g SQL Server, Oracle, MongoDB). Students will learn about and apply common machine learning algorithms, and understand and code the principles and foundational steps for selecting, building and validating a predictive model.