Customer Analytics in R (614)
Issued by
Statistics.com
The course objective is to provide an understanding of the problem and the context, and continue to clean, prepare and explore the relevant data. You'll work on feature engineering, handling dates, summarization, and how to work with the customer lifecycle concept in data analysis. The course culminates with a report that you will write, and a recommendation that you will prepare for a hypothetical company. Prerequisites: R Programming; Statistics
Additional DetailsSkills
Earning Criteria
-
The methods of assessment include quizzes, and more with a minimum passing score of 80%.
-
Instructional strategies include: 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. It is recommended for a total of 3 Graduate college credits in Data Analytics For more information about ACE Learning Evaluations, visit www.acenet.edu. -
American Council on Education
3 semester hours in data analytics in the graduate category