The Practical Data Extraction class has been designed to provide professionals the fundamental knowledge and technical know how to develop working data engineering pipelines. Data engineers will learn the component of their data pipelines, the best practices to leverage automation, and guard rails to proactively avoid/correct common errors in data engineering ecosystems.
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.
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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