Practical Data Extraction

Course Available
2 Units
Online Fixed-Date

Course Description

Learn All About Data Extraction and Build a Data Extraction Process

The Practical Data Extraction class has been designed to provide the professional the fundamental knowledge and technical know how in order 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.

Course Details

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:

  • Successful completion of PDE-X800 Data Engineering Fundamentals
  • Familiarity with basic programming fundamental concepts (Python, SQL)

Course Options

Course Date Units Price
PDE-X801 – 001 27 Jun 202314 Aug 2023 2 $1375

Practical Data Extraction

27 Jun 202314 Aug 2023
2
$1375
Online Fixed-Date

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 Online Orientation and your online course.

PDE-X801 – 002 24 Oct 202311 Dec 2023 2 $1375

Practical Data Extraction

24 Oct 202311 Dec 2023
2
$1375
Online Fixed-Date

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 Online Orientation and your online course.

What You Will Learn

  • Acquire applicable data engineering knowledge to develop data engineering pipelines
  • Understand the different elements of data engineering pipelines and how to implement them in the real world
  • Leverage automation and continuous improvement methodology within data engineering solutions

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?

PCE nurtures key partnerships on the local, national and international level to better serve working professionals who seek to enhance or build their careers, as well as with their employers to help achieve their highest value and potential. Contact us today to learn more.

Informative Stats and Facts

600+

Number of high-quality, career-building courses to choose from

50+

Number of in-depth, innovative, and relevant topics

25+

Career advancing certificates

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 seven 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.