Predictive Analytics 1 - Machine Learning Tools (#601)
Issued by
Statistics.com
The course introduces basic concepts in predictive analytics, the most prevalent form of data mining, and covers the two core paradigms for business applications of predictive modeling: classification and prediction. This course is useful for professionals who want to understand what predictive modeling might do for their organization, undertake pilots with minimum setup costs, or manage predictive modeling projects or ongoing predictive modeling deployments.
Additional DetailsEarning Criteria
-
The methods of assessment include quizzes, and more with a minimum passing score of 80%.
-
Instructional strategies include: audio visual materials, case studies, discussion, computer-based training, project-based instruction, coaching/mentoring, practical exercises, classroom exercise.
Endorsements
-
American Council on Education
This credential has been successfully evaluated by the American Council on Education for college credit. Is is recommended for 3 Upper-Division Baccalaureate college credits in Predictive Analytics. For more information about ACE Learning Evaluations, visit www.acenet.edu. -
American Council on Education
3 semester hours in predictive analytics in the upper-division undergraduate category