Practical Data Engineering Capstone

Course Available
2 Units
Online Fixed-Date
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Course Description

Demonstrate Your Newfound Practical Data Engineering Skills

The online Practical Data Engineering Capstone course is the culmination of three previous engineering courses. In this final course, you will challenge yourself to craft an end-to-end data pipeline project from scratch — an accomplishment that will not only showcase your expertise, but can be leveraged as practical evidence of your abilities in professional interviews.

Beyond refining your applicable hard skills, this capstone course will instruct you in the art of presenting data projects and insights to non-technical stakeholders. Ultimately, you will learn to elevate your communication skills and amplify the impact of your data engineering work.

Upon completing the Practical Data Engineering Capstone project, you'll possess the hands-on experience needed to kickstart your career as a data engineer or to further expand your skill set and unlock a world of opportunities in the dynamic data engineering landscape. Before enrolling, students must complete Data Engineering Fundamentals (PDE-X800), Practical Data Extraction (PDE-X801), and Practical Data Integration (PDE-X802).

Course Details

Number of Units: 2.0 graduate level extension credit(s) in semester hours

Who Should Attend:Our Practical Data Engineering Capstone provides 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.

Technical Requirements

Prerequisites:

Course Options

Course Date Units Price
PDE-X803 – 005 18 Mar 2025 – 05 May 2025 2 $1375

Practical Data Engineering Capstone

18 Mar 2025 – 05 May 2025
2
$1375
Online Fixed-Date
Dillon Orr

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.

Add to Cart
PDE-X803 – 006 15 Jul 2025 – 02 Sep 2025 2 $1375

Practical Data Engineering Capstone

15 Jul 2025 – 02 Sep 2025
2
$1375
Online Fixed-Date
Dillon Orr

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.

Add to Cart

What You Will Learn

By the end of this course, students will gain confidence in addressing real-world data engineering challenges within the AWS ecosystem, and in practicing industry standards. This course will provide students with necessary knowledge to start or augment their careers, and identify new pathways in data engineering to further specialize.

  • Explain the fundamental concepts, services, and tools in AWS related to data engineering
  • Define the roles and responsibilities of a data engineer in designing and managing data pipelines in AWS
  • Gain proficiency in selecting the appropriate AWS services to meet data engineering project requirements
  • Design an end-to-end data pipeline project using AWS services, tools, and features for storage, data warehousing, and computing tasks
  • Deliver a professional proposal for a data pipeline solution combining data engineering knowledge with AWS workflows
  • Identify product certifications and professional pathways to enhance your career opportunities using data engineering

 

Instructors

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.

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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.