In the dynamic landscape of data engineering, professionals are transcending conventional roles, emerging as vital contributors reshaping the contours of data-driven initiatives. This comprehensive course immerses students in the core principles, tools, and techniques that define the art and science of data engineering in the real world. Fundamentals covered include Python programming; using Structured Query Language (SQL) to query a database; how to perform extract, transform, and load (ETL) processes, and more.
As a student in the Data Engineering Fundamentals course, you'll not only master the art of determining and deploying data engineering solutions in diverse project settings, but also explore specialized technical avenues aligned with your career goals. This introductory course is tailor-made for those seeking to augment their skill set or embark on a new career journey in data engineering.
This course is the first in the Practical Data Engineering Certificate program, followed sequentially by Practical Data Extraction (PDE-X801), Practical Data Integration (PDE-X802) and the Practical Data Engineering Capstone (PDE-X803).
Number of Units: 2.0 graduate level extension credit(s) in semester hours
Who Should Attend
Our Practical Data Extraction courses provide continuing education for the following:
Course Materials: No textbook requirement.
Technical Requirements
Prerequisites:
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Courses offer a convenient, yet rigorous style of learning that allows you to structure your education to suit your schedule while keeping you on pace toward achieving your educational.
Online Fixed-Date: Online fixed-date courses offer a convenient, yet rigorous style of learning that enables you to collaborate with your instructor and other students in a shared, online learning environment. These courses have fixed start and finish dates, but as an online student you will have 24/7 online access to your classroom assignments, syllabus and course resources. Our online fixed-date courses allow you to work on your assignments anytime, although you are required to complete the assignments by specific dates.
How is the learning structured? In an online fixed-date course, you and your classmates will proceed through the curriculum together, collaborating in a shared learning experience. Each online fixed-date course is asynchronous, meaning that you can work on your assignments anytime, although required to complete the assignments by specific dates. The course is designed with learning modules where all of the content is grouped into weekly assignments. Each module covers one or more topics. Within each of the learning modules, you can expect the following components:
Each online, fixed-date course is seven weeks long. Students are required to complete certain assignments by specific dates, but have 24/7 access to coursework to complete assignments on a schedule that is convenient for them.
Students should have familiarity with basic programming fundamental concepts such as Python, SQL, etc. There are no prerequisite courses, and no prior professional experience in data engineering is required.
Data Engineering Fundamentals is worth two (2) graduate level credits or Continuing Education Units (CEUs).
Upon successful completion of Data Engineering Fundamentals, you will have sufficient knowledge of the daily tasks of a data engineer and how their work contributes to larger business objectives.
Find the benefits to earning a Practical Data Engineering Certificate in our eBook.
Learn practical skills from expert instructors to boost your resume or succeed in your current role.