The badge earner has demonstrated mastery of foundational skills required for Data Science, including open source tools and libraries such as Jupyter notebooks and R Studio, Python programming language, Statistical Analysis techniques, SQL and relational databases. The individual has hands-on practice and has completed several projects involving real-world data sets employing tools anived techniques used by practicing data scientists.
Additional DetailsSkills
Earning Criteria
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Receive the specialization certificate from Coursera.
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 9 college credits. For more information about ACE Learning Evaluations, visit www.acenet.edu. -
American Council on Education
1 semester hour in data science in the lower-division undergraduate category -
American Council on Education
3 semester hours in introduction to Python programming in the lower-division undergraduate category -
American Council on Education
2 semester hours in introduction to SQL programming in the lower-division undergraduate category -
American Council on Education
2 semester hours in introduction to statistics in Python in the lower-division undergraduate category