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
Delivery Method: In-Residence/ On-Site Course and VIRR
Course Length: 24 hoursEvent Type: Training (Functional, Technical)
CL Points: 24