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データエンジニアリング

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Overview

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Learning outcomes

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Course content

1

Data Ingestion

2

Data Processing

3

Data Storage

4

Data Transformation

5

Data Visualization

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

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Self-paced
Learn on your time
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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
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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 Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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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'm absolutely thrilled with the データエンジニアリング course at Stanmore School of Business! As a data enthusiast from the United States, I was looking to upskill and transition into a data engineering role. This course exceeded my expectations in every way. The comprehensive curriculum covered everything from data ingestion to pipeline management, and the hands-on projects helped me gain practical experience with tools like Apache Beam and Spark. I was particularly impressed by the quality of the course materials, which included interactive labs, video lectures, and real-world case studies. The instructors were knowledgeable and supportive, and the online community was active and helpful. I achieved my learning goals and landed a job as a data engineer at a top tech firm in Silicon Valley. I highly recommend this course to anyone looking to break into the field of data engineering!

LH
Leila Hassan
EG · Course completed

I found the データエンジニアリング course at Stanmore School of Business to be a great introduction to the field of data engineering. As a student from Egypt, I was looking for a course that would provide me with a solid foundation in data engineering principles and practices. The course content was well-structured and easy to follow, and the instructors were responsive to my questions and concerns. I appreciated the focus on practical skills, such as data modeling and ETL pipeline development, and the opportunity to work on real-world projects. One of the highlights of the course was the guest lecture on data engineering in the cloud, which gave me valuable insights into the latest industry trends and technologies. While I felt that some of the course materials could be improved, overall I was satisfied with the course and would recommend it to others looking to learn about data engineering.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The データエンジニアリング course at Stanmore School of Business was an incredible learning experience! As a data scientist from Japan, I was looking to expand my skill set and learn more about the engineering aspects of data pipelines. This course delivered on all fronts, with engaging video lectures, interactive coding exercises, and challenging projects that pushed me to think creatively. I was impressed by the breadth and depth of the course content, which covered everything from data architecture to DevOps practices. The instructors were passionate and knowledgeable, and the online community was supportive and motivating. I gained a ton of practical knowledge and skills, including experience with Docker, Kubernetes, and Apache Airflow. I'm so glad I took this course and would highly recommend it to anyone looking to level up their data engineering skills!

RS
Rafael Silva
BR · Course completed

I recently completed the データエンジニアリング course at Stanmore School of Business and had a great experience. As a software engineer from Brazil, I was looking to learn more about data engineering and how to design and implement scalable data pipelines. The course content was comprehensive and well-organized, with a focus on practical skills and real-world applications. I appreciated the opportunity to work on projects that simulated real-world scenarios, such as building a data warehouse and creating a data pipeline for a fictional company. The instructors were knowledgeable and provided feedback on my projects, which helped me improve my skills. One area for improvement could be more discussion of emerging trends and technologies in the field, such as serverless computing and machine learning engineering. Overall, I was satisfied with the course and would recommend it to others looking to learn about data engineering.





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Recently updated!

May 2026