- Type Learning
- Level Foundational
- Time Months
- Cost Paid
Python Data Analysis
Issued by
Lincoln Technologies
Earners of this credential have learned the fundamentals of data analysis while building Python skills. They have been exposed to basic data cleaning and prep while using libraries like Numpy. The course includes case studies, capstone projects, and a series of teachings for hypothesis testing.
- Type Learning
- Level Foundational
- Time Months
- Cost Paid
Skills
Earning Criteria
-
Pass the qualification exam with at least 80%.
Endorsements
-
American Council on Education
This credential has been successfully evaluated by the American Council on Education for college credit and/or workplace competencies. It is recommended for a total of 3 college credits. For more information about ACE Learning Evaluations evaluations, visit www.acenet.edu. -
American Council on Education
3 semester hours in Introduction to Python in the lower-division undergraduate category