This badge was issued to Sahir Santosh Maharaj on 18 Dec 2022.
- Type Validation
- Level Advanced
- Time Months
- Cost Paid
This credential earner has developed career-ready skills in data engineering and created a portfolio from labs and projects. They demonstrated abilities to perform key tasks in roles requiring skills in Python, NoSQL databases, relational databases (RDBMS), SQL, as well as familiarity with Hadoop and Spark, and creating data warehouses utilizing business intelligence tools. The learner brings together these skills to implement various data repositories and pipelines to create a data platform.
- Type Validation
- Level Advanced
- Time Months
- Cost Paid
Skills
Earning Criteria
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Receive the Data Engineering Professional Certificate from Coursera with a minimum passing grade of 70%.
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 12 college credits. For more information about ACE Learning Evaluations, visit www.acenet.edu. -
American Council on Education
3 semester hours in Introduction to Python in the lower-division undergraduate category -
American Council on Education
3 semester hours in Introduction to Database Systems in the lower-division undergraduate category -
American Council on Education
3 semester hours in Advanced SQL Programming in the upper-division undergraduate category -
American Council on Education
3 semester hours in Data Mining in the upper-division undergraduate category