Data Science Fundamentals Specialization (V2)
Issued by
IBM
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