R Programming - Intermediate (452)(v.3)
Issued by
Statistics.com
The course objective is work with various data types, recognize different types of loops, and create and apply user-defined functions. In contrast with the detailed step-by-step approach in an introductory course, this more advanced course will use a more open and independent learning style, and students should expect to occasionally wrestle a bit with the concepts and be comfortable with a trial-and-error approach.
- Type Validation
- Level Intermediate
- Time Weeks
Skills
Earning Criteria
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The methods of assessment include examinations, quizzes, with a minimum passing score of 70%.
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Instructional strategies include: discussion, practical exercises.
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 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 upper-division undergraduate category