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高度データエンジニアリング専門課程証明書 (Advanced)

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Overview

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Learning outcomes

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Course content

1

Data Engineering Fundamentals

2

Data Ingestion And Processing

3

Data Storage And Management

4

Data Quality And Governance

5

Data Security And Compliance

6

Data Warehousing And Business Intelligence

7

Data Visualization And Communication

8

Advanced Data Engineering Techniques

9

Cloud-Based Data Engineering

10

Real-Time Data Processing And Streaming

11

Data Engineering For Artificial Intelligence And Machine Learning

12

Nosql Database Systems

13

Data Lake Architecture And Management

14

Data Pipeline Development And Maintenance

15

Data Architecture And Design Patterns

16

Scalable Data Systems And Distributed Computing

17

Big Data Engineering And Analytics

18

Data-Driven Decision Making And Strategy

19

Data Engineering For Iot And Edge Computing

20

Advanced Data Analytics And Machine Learning Techniques

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
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
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 Kingdom
ST
Sarah Thompson
GB · Course completed

I signed up for the course hoping to brush up on data‑modeling, and it totally delivered. The practical labs on schema design and partitioning in Snowflake were spot on – I actually re‑architected a legacy data warehouse at work thanks to what I learned. The material was clear, the quizzes helped cement concepts, and the community forum was lively. While I wish there were a few more live Q&A sessions, the overall experience was solid and definitely worth the time.

MC
Michael Carter
US · Course completed

The 高度データエンジニアリング専門課程証明書 exceeded my expectations. The curriculum was precisely aligned with my goal of mastering cloud‑based data pipelines. I was able to build a production‑ready ETL workflow using Apache Airflow and BigQuery, which I now deploy at my company weekly. The lecture videos, hands‑on labs, and the accompanying code repository were all top‑notch and kept me engaged. Overall, the program was professionally delivered, and I feel fully prepared to take on senior data‑engineering roles.

ST
Sakura Tanaka
JP · Course completed

すごく楽しかったです!このコースでデータストリーミングの実装方法を学び、Kafka と Spark の統合を自分のプロジェクトにすぐに適用できました。特に、実際の業務で使えるサンプルコードとステップバイステップのチュートリアルがとても役立ちました。教材は日本語の字幕付きで分かりやすく、講師の解説も熱意が伝わってきました。学び終わった今、データエンジニアとしての自信が大幅にアップしました!

ZD
Zanele Dlamini
ZA · Course completed

From a detailed perspective, the course covered everything I needed to move from theory to practice. I especially appreciated the deep dive into data governance and GDPR‑compliant pipelines – topics that are crucial for my role in South Africa's fintech sector. The case studies on real‑world data lakes gave me concrete examples to reference, and the final capstone project let me build a end‑to‑end pipeline using Azure Data Factory. The pacing was just right, and the support from the instructors made the whole learning journey rewarding.





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May 2026