Loading...

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).

Learner Outcomes

  • 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

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

Prerequisites

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

Applies Towards the Following Certificate(s), Professional Programs and Series

Loading...
Enroll Now - Select a section to enroll in
Type
Online
Dates
May 21, 2024 to Jul 08, 2024
Course Format
Course Fee(s)
BUS PD - $1375 credit (2 units) $1,375.00
Section Fees
Potential Discount(s)
Available for Extension Credit
2 units
Instructor(s)
  • Mikael Graindorge
Section Notes

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.

Type
Online
Dates
Sep 03, 2024 to Oct 21, 2024
Course Format
Course Fee(s)
BUS PD - $1375 credit (2 units) $1,375.00
Section Fees
Potential Discount(s)
Available for Extension Credit
2 units
Instructor(s)
  • Mikael Graindorge
Section Notes

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.

Required fields are indicated by .