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Zertifikat Master Im Bereich Datenqualität (Erweitert) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Datenqualitäts Management

2

Datenquellen Und -Schnittstellen

3

Datensicherheit Und Datenschutz

4

Datenmodellierung Und -Normalisierung

5

Datenbankdesign Und -Implementation

6

Datenmigration Und -Integration

7

Datenqualitätskontrolle Und -Prüfung

8

Datenanalyse Und -Visualisierung

9

Datenmining Und -Maschinelles Lernen

10

Geschäftsanalyse Und -Prozessoptimierung

11

Datenqualität Und -Governance

12

Datenarchitektur Und -Infrastruktur

13

Datenmanagement Und -Verwaltung

14

Informationsqualität Und -Sicherheit

15

Datenrettung Und -Wiederherstellung

16

Datenkompression Und -Verschlüsselung

17

Datenspeicherung Und -Verteilung

18

Datenverarbeitung Und -Übertragung

19

Datenqualitätsverbesserung Und -Optimierung

20

Datenstandardisierung Und -Harmonisierung

Career Path

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Key facts

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Why this course

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People also ask

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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
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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 blown away by the 'Zertifikat Master Im Bereich Datenqualität (Erweitert)' course at Stanmore School of Business! As a data analyst from the United States, I was looking to upskill and this course exceeded my expectations. The comprehensive curriculum, combined with the excellent instruction, helped me achieve my learning goals and enhanced my understanding of data quality principles. I particularly appreciated the practical examples and case studies that illustrated the application of data quality concepts in real-world scenarios. The course materials were top-notch, and I was impressed by the relevance and accuracy of the information presented. Overall, I'm extremely satisfied with my learning experience and would highly recommend this course to anyone seeking to advance their career in data quality.

LH
Leila Hassan
EG · Course completed

I found the 'Zertifikat Master Im Bereich Datenqualität (Erweitert)' course to be a valuable learning experience. As a professional working in the Middle East, I needed a course that would provide me with practical knowledge and skills in data quality. The course content was well-structured, and the instructors were knowledgeable and supportive. I gained a deeper understanding of data quality metrics, data governance, and data validation techniques, which I can apply directly to my work. While some of the course materials could be improved, overall, I was satisfied with the quality and relevance of the content. One area for improvement could be the addition of more regional case studies to make the course more relatable to students from diverse backgrounds.

KN
Kaito Nakamura
JP · Course completed

Wow, what an amazing course! I'm so excited to share my experience with the 'Zertifikat Master Im Bereich Datenqualität (Erweitert)' course at Stanmore School of Business. As a data scientist from Japan, I was looking for a course that would challenge me and provide me with the latest insights and trends in data quality. This course delivered! The instructors were passionate and knowledgeable, and the course materials were engaging and interactive. I loved the hands-on exercises and group discussions, which helped me develop practical skills in data quality assessment and improvement. The course was packed with valuable information, and I appreciated the focus on real-world applications and industry best practices. I feel confident that I can apply the knowledge and skills I gained to drive business value in my organization.

RS
Rafaela Silva
BR · Course completed

I recently completed the 'Zertifikat Master Im Bereich Datenqualität (Erweitert)' course at Stanmore School of Business, and I must say it was a great learning experience. As a data analyst from Brazil, I was looking to enhance my skills in data quality and governance. The course provided a detailed overview of data quality principles, metrics, and methodologies, which helped me achieve my learning goals. I appreciated the emphasis on practical examples and case studies, which illustrated the application of data quality concepts in various industries. The course materials were well-organized, and the instructors were responsive to questions and feedback. One aspect that could be improved is the addition of more advanced topics in data quality, such as AI and machine learning applications. Overall, I'm satisfied with the course and would recommend it to professionals seeking to develop their skills in data quality.





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Recently updated!

May 2026