PDEP

Applied Machine Learning is one of five non-credit courses in the Certification in Practice of Data Analytics (CPDA) program. This course can be taken individually or as one of four courses required to receive the CPDA certificate of completion.

This course is offered in an online format, with recorded video lectures and lab demonstrations. The course is taught by Dr. Gerald Frankel, Dr. Jenifer Locke, and Dr. Rudy Buchheit, Dean of the College of Engineering, University of Kentucky.

Data Mining is one of five non-credit courses in the Certification in Practice of Data Analytics (CPDA) program and is the second course in the sequence. This course can be taken individually or as one of four courses required to receive the CPDA certificate of completion. The course is delivered in 100% distance learning format and includes instructional material equivalent to a one-semester credit hour class.

Introductory Statistics for Data Analytics is one of five non-credit courses in the Certification in Practice of Data Analytics (CPDA) program. This course can be taken individually, or as one of four courses required to receive the CPDA certificate of completion. If you pursue the entire certification, this course must be taken first in the sequence.

In this three-day program, participants will build an action plan for managing their human capital while developing an effective program for managing assets. Supervisors will learn how to leverage their personal supervisory style, apply time management techniques, run effective meetings and improve maintenance delivery.

This three-day course examines topics including standard work processes, job estimation and prioritization, backlog management, job plan development, work scheduling and coordination. Participants engage in hands-on activities that build system-independent knowledge and skills they will be able to apply immediately.