Course Detail
Course Components:
Enrollment Information
Enrollment Requirement:
Prerequisites: Masters status in the School of Business OR Instructor Consent.
Successful corporations can utilize data science techniques (predictive analytics and data mining) to help drive business decision making by analyzing very large datasets (big data). In this course, a hands-on practitioner's approach is taken to learning the fundamental knowledge, techniques and tools required for analyzing big data and leading data science teams. Topics covered include framing a business challenge as an analytics problem, using a structured lifecycle approach to data analytics, and applying the appropriate analytic techniques to analyze big data effectively. Hands-on experience is gained using open source tools such as R and Hadoop.