Predictive Analytics 2 - Neural Nets and Regression (#602)
Issued by
Statistics.com
The course continues work from Predictive Analytics 1 and introduces additional techniques in predictive analytics, the most prevalent form of data mining. The course includes hands-on work with R, Python or Excel Solver software. This course is especially useful for analysts and managers who want to undertake pilots with minimum setup costs, manage predictive modeling projects, or work with consultants or technical experts involved with ongoing predictive modeling deployments.
Additional DetailsEarning Criteria
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The methods of assessment include quizzes, and more with a minimum passing score of 80%.
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Instructional strategies include: audio visual materials, case studies, discussion, computer-based training, project-based instruction, coaching/mentoring, practical exercises, classroom exercise.
Endorsements
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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