Free preview available
Columbus, United States · Study online with LSBA

Data Engineering

Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
2979 already enrolled
Flexible schedule
Learn at your own pace
100% online
Learn from anywhere
Shareable certificate
Add to LinkedIn
2 months to complete
at 2-3 hours a week
Share

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Data Ingestion

2

Data Storage

3

Data Processing

4

Data Architecture

5

Data Quality

Career Path

Loading...

Key facts

Loading...

Why this course

Loading...

People also ask

Everything you need to know before you start

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
From enrol to start
24/7
Course access
Self-paced
Learn on your time
Certificate
Included in fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
Enrol now

Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
Open enrolment · Start today

You've read the page. The next step is the easy part.

Most learners are inside the course materials within 60 seconds of clicking the button below. Self-paced, instant access, certificate included.

Enrol now
Instant access Certificate included Self-paced Secure checkout

Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

I just completed the Data Engineering course at Stanmore School of Business and I'm blown away by the quality of the content! The course materials were incredibly relevant and helped me achieve my learning goals of becoming proficient in data pipeline development. I particularly enjoyed the hands-on exercises on designing and implementing data warehouses using Apache Hive and Spark. The instructors were knowledgeable and responsive, and the online community was super supportive. I've already applied the skills I learned to my current project and seen significant improvements in data processing efficiency. I'd highly recommend this course to anyone looking to upskill in data engineering!

LH
Leila Hassan
EG · Course completed

I found the Data Engineering course to be quite comprehensive, covering a wide range of topics from data ingestion to visualization. The course materials were well-structured and easy to follow, with plenty of examples and case studies to illustrate key concepts. I appreciated the focus on practical skills, such as data modeling and ETL pipeline development, which I was able to apply directly to my work. One area for improvement could be the addition of more advanced topics, such as real-time data processing and machine learning integration. Overall, I'm satisfied with the course and would recommend it to others looking to gain a solid foundation in data engineering.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Data Engineering course at Stanmore School of Business was an absolute game-changer for me! I was struggling to keep up with the latest trends and technologies in the field, but this course brought me up to speed in no time. The instructors were passionate and knowledgeable, and the course materials were top-notch. I loved the interactive labs and assignments, which helped me develop a deep understanding of data engineering concepts and tools. The course community was also super active and helpful, with many students sharing their own experiences and insights. I've already landed a new job as a data engineer thanks to the skills and confidence I gained from this course - thank you, Stanmore!

RS
Rafaela Silva
BR · Course completed

I took the Data Engineering course at Stanmore School of Business with the goal of transitioning into a career in data science. I was a bit skeptical at first, but the course exceeded my expectations in many ways. The content was well-organized and easy to understand, with a focus on practical applications and real-world examples. I appreciated the emphasis on data quality and governance, as well as the introduction to emerging technologies like cloud-based data warehousing. One thing that could be improved is the level of support for non-technical students, as some of the concepts and terminology were unfamiliar to me at first. Nevertheless, I'm happy with the course and feel more confident in my ability to work with data engineering tools and technologies.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026