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Python for Analytics (#556)

Issued by Statistics.com

The course objective is to introduce basic Python skills and data structures, how to load data from different sources, rearrange and aggregate it, and finally how to analyze and visualize it to create high-quality products.

Type Validation
Level Advanced
Time Weeks

Additional Details

Skills

Earning Criteria

The methods of assessment include quizzes, and more with a minimum passing score of 80%.
Instructional strategies include: audio visual materials, 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 Python. For more information about ACE Learning Evaluations, visit www.acenet.edu.
American Council on Education

3 semester hours in introduction to python for analytics in the upper-division undergraduate category