In an ever-expanding and evolving field, Data Engineers are moving beyond traditional job roles and becoming true contributors in redefining the boundaries of data-driven projects. Students seeking Data Engineering as a supplemental skillset or a new career interest will benefit from this introductory course which covers the basic principles, tools, and techniques that define the role and practice of data engineering in the real world. Students will practice determining and deploying data engineering solutions in project settings, consider data engineering technical specializations in relation to their interests, and leverage data engineering fundamentals to expand their career path.
Number of Units: 2.0 graduate level extension credit(s) in semester hours
Who Should Attend: This course provides continuing education to (1) Data analysts, data scientists, machine learning practicians, and business analysts who want to learn and practice data engineering principles and tools; (2) Individuals with a college degree or full-time students who would be interested in exploring and learning data engineering skillsets as a new career; (3) Professionals who are interested in learning practical data engineering topics; and (4) Anyone who is interested in breaking into the high-growing field of data engineering.
Course Materials: No textbook requirement.
Technical Requirements
Prerequisites:
Practical Data Engineering Certificate – Bundle and save 10% when you enroll in all four courses (must add all 4 courses in one transaction for discount):
To apply credit, select the checkbox and select "BUS – PDE Bundle and Save 10%" for a discount on each course. **Only one discount can be applied per course. Discount does not apply to certificate fee. **
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