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DAU-CDAT Syllabus (English)

DAU-CDAT Sample Exam (English)

DAU-CDAT Syllabus (Spanish)

DAU-CDAT Glossary

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Data & Analytics United - Certified Data & Analytics Tester (DAU - CDAT)

is a 2-day interactive certification course to help you develop the skills and knowledge to survive as a tester in a data and analytics environment. Participants will learn how to utilize embedded structured testing in order to reach and improve the quality goals in their everyday work.

Data & Analytics United

Why was DAU-CDAT created, with Armando Dörsek (Co-Creator of DAU-CDAT)

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Why was DAU-CDAT created, with Armando Dörsek (Co-Creator of DAU-CDAT)

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Meet the Creators and Authors of Data & Analytics Testing - Webinar recording.

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Data & Analytics United - Certified Data & Analytics Tester

At Data & Analytics United, we recognize the importance and added value of (big) data and analysis in your business model. As the prioritization of data grows - we aim to increase the trust that can be enabled by testers when supplying and evaluating reliable, complete, and continuous on-time information delivery.

A Certified Data & Analytics Tester is not only able to define a vision and test strategy, but also apply it to an efficient test approach in data-oriented environments and projects. They are also familiar with the essential test specification techniques that are required in data and analytics projects.

Successful DAU - CDAT participants are able to distinguish between different data quality attributes, measure these differences and apply essential data profiling techniques. They will also understand the intricate privacy aspects of the data that is associated with the given test environments and apply this to their data and analytics testing.

DAU Certified Data & Analytics Tester has been designed for test engineers, test coordinators, business analysts, data leads, data warehouse developers and business intelligence consultants.

Prerequisites:

Data & Analytics United - Certified Data & Analytics Tester (DAU - CDAT) has been designed for anyone looking to improve the quality of the (big) data that is used in your data and analytics projects.

Although there aren't any mandatory prerequisites:

for Testers and QA Professionals: you will get a lot more from the course if you have already hold the ISTQB Certified Tester Foundation Level (CTFL) certificate - as this course will not cover the fundamentals and terminology of testing. This practical certification course will take your understanding of testing a step further and provide you with a variety of approaches and techniques that are essential for data and analytics testing.