IBM Data Engineering Professional Certificate (V3)
Issued by
IBM
This credential earner has developed career-ready skills in data engineering and created a portfolio from labs and projects. They can perform key tasks in roles requiring skills in Python, NoSQL, RDBMS, SQL, and have familiarity with Hadoop and Spark, and creating data warehouses utilizing business intelligence tools. The earner can implement various data repositories and pipelines to create a data platform. They can also leverage generative AI tools and techniques in data engineering processes.
Additional DetailsSkills
Earning Criteria
Standards
The learning outcomes and skills acquired can be recognized as modules in subsequent educational courses, with a recommendation for recognition at EQF levels 5 and 6 for their designated ECTS credits. This certificate includes a workload of approximately 217 learning hours, providing a comprehensive learning experience.
Higher Education Institutions within the European Higher Education Area are obligated to recognize prior learning and non-formal learning experience, accepting up to a certain amount from non-university modules, provided there are no major differences in learning outcomes. Specific acceptance and applicability may vary by institution.
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 15 college credits. For more information about ACE Learning Evaluations, visit www.acenet.edu. -
American Council on Education
3 semester hours in Introduction to Programming with Python in the lower-division undergraduate category -
American Council on Education
3 semester hours in Practical Data Mining and Warehouse Implementation in the upper-division undergraduate category -
American Council on Education
3 semester hours in Data Engineering Techniques and Tools in the upper-division undergraduate category -
American Council on Education
3 semester hours in Introduction to Relational Databases in the lower-division undergraduate category -
American Council on Education
3 semester hours in Advanced SQL Programming in the upper-division undergraduate category -
FIBAA
This credential has been successfully certified by the Foundation for International Business Administration Accreditation and is recommended for recognition of up to 8 ECTS credits. For more information about FIBAA, visit www.fibaa.org. -
FIBAA
8 semester hours