Data Engineering Fundamentals

Course Available
2 Units
Online Fixed-Date

Course Description

Harness the Power of Data Engineering Fundamentals to Chart an Expansive Career Trajectory

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).

Course Details

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:

  • Data Experts: Are you a data analyst, business analyst, data scientist, computer scientist, machine learning engineer, or AI virtuoso? Our program is your gateway to mastering data engineering principles and wielding the essential tools of the trade.
  • Career Changers: If you hold a college degree or are a full-time student looking to pivot your studies, our program offers the perfect opportunity to foray into data engineering.
  • Passionate Professionals: If you're enthusiastic about diving deep into practical data engineering topics and want to amplify your professional prowess, our Practical Data Engineering Certificate is your ticket to success.
  • Trailblazers in the Making: Whether you're a seasoned pro or a fresh enthusiast, if you aspire to enter the dynamic field of data engineering and architecture, this program will help illuminate your path forward.

Course Materials: No textbook requirement.

Technical Requirements


  • Familiarity with basic programming fundamental concepts (Python, SQL)

Course Options

Course Date Units Price
PDE-X800 – 005 03 Sep 202421 Oct 2024 2 $1375

Data Engineering Fundamentals

03 Sep 202421 Oct 2024

Business Programs – 25% Off May Sale

Valid May 1, 2024 – May 31, 2024

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**Only one discount can be applied per course.**

Online Fixed-Date
Mikael Graindorge

Once you have enrolled in your course, log in to your account to access the course Welcome Letter, which includes directions on how to access the New Student Orientation and your online course.

What You Will Learn

  • Examine the scope and purpose of data engineering in supporting business, organizational, and project needs
  • Identify the daily duties, technology environments, and tomes of technical knowledge that define the field of data engineering
  • Translate data engineering tasks and responsibilities into recognizable competencies and obtainable skillsets
  • Simulate a solutions-driven business framework to assess data engineering platform, programming, and product decisions
  • Leverage data engineering fundamentals to align professional interests, expand job opportunities, and bridge career pathways


Professional development courses offered by the University of San Diego’s Division of Professional & Continuing Education are taught by faculty that possess a depth and breadth of academic and real-world professional experience.

Why USD?

The Professional and Continuing Education program nurtures key partnerships on the local, national, and international level. The goal is to better serve working professionals who seek to enhance or build their careers and help achieve their highest value and potential. Contact us today to learn more.

Informative Stats and Facts


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Learning Method Information

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: 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:

  • Module introduction that outlines what you can expect to learn in the module.
  • Required readings (textbook, articles, journals, etc.) and presentations (audio and/or video).
  • Assignments with due dates (which may include: written assignments, journal entries, research, blogs, etc.) based on the readings and presentations.
  • Discussion forum where you answer prompts from the instructor and interact with your classmates.
  • Module conclusion to review the topics and what you should have learned.
  • Typically, there is a final project, paper, or exam due in the last module that culminates all of the topics covered in each of the learning modules. You’ll find that the design of the learning modules has a rhythm to help you manage your time in the course.


How long does it take to complete the Data Engineering Fundamentals course?

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.

What background or prerequisites do I need?

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.

Can I earn credit for this course?

Data Engineering Fundamentals is worth two (2) graduate level credits or Continuing Education Units (CEUs).

What will I be able to do once I complete the course?

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.