For online courses, completion dates on the certificate may lag actual completion dates, therefore students may have completed the course on a date earlier than what is on the certificate.
This workshop focuses on maturing a data analytics capability from predictive to prescriptive. The emphasis is on using systems dynamics to develop process models utilizing data analytics methodologies to identify and exploit system constraints, decrease waste, and reduce variation. Topics include relational databases, introduction to programming, optimization, and advanced data analytics techniques. Students should be comfortable working with Microsoft Excel and have some mathematical aptitude. A recommended prerequisite is AFIT Data Analytics for the Rest of Us, although not required.
Grade Restrictions: None
Special Requirements: None
Course Registration Information
Course Length: 24 hours
Event Type: Training (Functional, Technical)Primary Audience:
CL Points: 24
Prerequisites:
