- Type Validation
- Level Advanced
- Time Weeks
Responsible Data Science (567)(v.1)
Issued by
Statistics.com
The course objective is to provide guidance and practical tools to build better models and avoid these problems. The course offers a framework to follow in implementing data science projects, and an audit process to follow in reviewing them. Case studies along with R and Python code are provided.
- Type Validation
- Level Advanced
- Time Weeks
Skills
Earning Criteria
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The methods of assessment include quizzes, with a minimum passing score of 80%.
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Instructional strategies include: discussion, computer-based training, 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. It is recommended for a total of 3 Graduate college credits in Data Science For more information about ACE Learning Evaluations, visit www.acenet.edu. -
American Council on Education
3 semester hours in data science in the graduate category