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Certificate in Data Engineering

Learn essential skills in data engineering, including data modeling, ETL processes, and database management, to advance your career in tech
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2 months to complete
at 2-3 hours a week

Overview

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Learning outcomes

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Course content

1

Data Engineering Fundamentals

2

Data Storage Solutions

3

Data Processing Techniques

4

Data Quality And Validation

5

Data Security And Governance

6

Cloud Computing For Data Engineering

7

Data Architecture Design

8

Data Warehousing And Business Intelligence

9

Data Engineering Tools And Technologies

10

Data Pipeline Development And Management

Career Path

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Key facts

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Why this course

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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
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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.
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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 Planning and Management
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
Open enrolment · Start today

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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 recently completed the Certificate in Data Engineering at Stanmore School of Business, and I must say it was an incredible experience. The course content was comprehensive and well-structured, covering everything from data ingestion to visualization. I particularly enjoyed the hands-on exercises and projects, which helped me gain practical skills in tools like Apache Beam and Apache Spark. The instructors were knowledgeable and supportive, and the course materials were of high quality and relevant to the industry. I achieved my learning goals and gained the skills and confidence to take on more challenging roles in data engineering. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to advance their career in data engineering.

LH
Leila Hassan
EG · Course completed

I took the Certificate in Data Engineering course at Stanmore School of Business, and it was a great learning experience. The course covered a wide range of topics, including data warehousing, ETL, and big data processing. I found the course materials to be well-organized and easy to follow, and the instructors were helpful and responsive to questions. One of the things that I appreciated most about the course was the focus on practical applications and real-world examples. For instance, we worked on a project to design and implement a data pipeline using AWS services, which gave me hands-on experience with cloud-based data engineering. While there were some areas where I felt the course could be improved, overall I was satisfied with the experience and felt that it helped me achieve my learning goals.

CS
Catarina Silva
BR · Course completed

Wow, what an amazing experience! The Certificate in Data Engineering course at Stanmore School of Business exceeded my expectations in every way. The instructors were passionate and knowledgeable, and the course materials were engaging and relevant. I loved the fact that the course included a mix of theoretical foundations and practical exercises, which helped me gain a deep understanding of data engineering concepts and techniques. One of the highlights of the course for me was the opportunity to work on a group project, which involved designing and implementing a data engineering solution for a real-world problem. This experience not only helped me develop my technical skills but also taught me the importance of collaboration and communication in a team. I'm so glad I took this course, and I would highly recommend it to anyone interested in data engineering!

KN
Kaito Nakamura
JP · Course completed

I completed the Certificate in Data Engineering course at Stanmore School of Business, and it was a valuable learning experience. The course content was detailed and comprehensive, covering topics such as data modeling, data processing, and data storage. I appreciated the fact that the course included many examples and case studies, which helped illustrate key concepts and make them more tangible. The instructors were also very supportive and provided helpful feedback on assignments and projects. One area where I felt the course could be improved was in the provision of more advanced topics and specialized electives, but overall I was satisfied with the experience and felt that it helped me gain a solid foundation in data engineering. The course materials were also of high quality and well-organized, which made it easier to follow along.





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Recently updated!

April 2026