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データエンジニアリング高度専門士 (Advanced)

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Overview

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Learning outcomes

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Course content

1

Data Engineering Fundamentals

2

Data Storage Systems

3

Cloud Computing

4

Data Processing And Analysis

5

Big Data Engineering

6

Data Warehousing And Business Intelligence

7

Data Governance And Quality

8

Data Security And Privacy

9

Advanced Data Engineering Topics

10

Data Engineering For Artificial Intelligence

11

Machine Learning Engineering

12

Nosql Database Systems

13

Data Pipeline Engineering

14

Real-Time Data Processing

15

Data Architecture And Design

16

Data Engineering Tools And Technologies

17

Scalable Data Systems

18

Data Engineering For Iot

19

Data Visualization And Communication

20

Advanced Data Storage Systems

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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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
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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
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'm thrilled to have completed the 'データエンジニアリング高度専門士' course at Stanmore School of Business! As a data enthusiast from the United States, I was looking to enhance my skills in data engineering, and this course exceeded my expectations. The course content was incredibly comprehensive, covering everything from data warehousing to big data processing. I particularly appreciated the hands-on exercises and projects that allowed me to apply theoretical concepts to real-world problems. The course materials were top-notch, with excellent video lectures, readings, and quizzes that kept me engaged throughout. I've gained practical knowledge in designing and implementing data pipelines, working with NoSQL databases, and optimizing data storage solutions. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to boost their data engineering skills.

LM
Leila Moreno
BR · Course completed

I just finished the 'データエンジニアリング高度専門士' course and I'm really happy with what I learned. The course was pretty challenging, but the instructors were always available to help. I liked that we got to work on projects that simulated real-world scenarios - it made the learning experience feel more authentic. One thing that really stood out to me was the section on data governance and security. I hadn't realized how important it was to ensure data quality and integrity, but now I feel confident in my ability to design and implement data systems that meet those standards. The course materials were mostly good, although some of the videos could be improved. Overall, I'd recommend this course to anyone looking to get into data engineering, but be prepared to put in the work!

KN
Kaito Nakamura
JP · Course completed

WOW, just WOW! I'm blown away by the 'データエンジニアリング高度専門士' course at Stanmore School of Business! As a data science enthusiast from Japan, I was looking for a course that would take my skills to the next level, and this course delivered. The instructors were amazing, the course materials were superb, and the community was so supportive. I loved the emphasis on practical skills - we got to work on so many cool projects, from building data warehouses to deploying machine learning models. I feel like I've gained a whole new set of skills, from data preprocessing to data visualization. The course was also really well-structured, with clear learning objectives and outcomes. I'm so grateful to have taken this course and I would highly, highly recommend it to anyone who wants to become a data engineering rockstar!

NJ
Nalini Jensen
DK · Course completed

I recently completed the 'データエンジニアリング高度専門士' course at Stanmore School of Business, and I must say it was a thoroughly enjoyable experience. As a detail-oriented person from Denmark, I appreciated the comprehensive nature of the course, which covered a wide range of topics in data engineering. The course materials were of high quality, with clear explanations and relevant examples. I particularly enjoyed the sections on data architecture and data quality, which provided valuable insights into the importance of designing robust data systems. The instructors were knowledgeable and responsive, and the discussion forums were a great way to interact with fellow students. One area for improvement could be the addition of more advanced topics, such as real-time data processing or edge computing. Nevertheless, I'm satisfied with the course and would recommend it to anyone looking to gain a solid foundation in data engineering.





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Recently updated!

May 2026