DaU Certified Data & Analytics Tester (CDAT) (English Spoken)
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Beschrijving
During this 2-day course at foundation level you will learn about data and analytics; what is it and how to test in a data & analytics environment. The testing strategies and methods are based on international testing and data management standards (e.g. ISTQB, DAMA) with a specific and practical translation to the data & analytics environment.
The course is set up in such a way that both data professionals and testing professionals get to share a common framework, creating ‘one language’ regarding testing in data & analytics environments. Accordingly, candidates will learn how to analyze risks, define a purposeful testing strategy and design test cases to reach and improve the quality goals. …
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During this 2-day course at foundation level you will learn
about data and analytics; what is it and how to test in a data
& analytics environment. The testing strategies and methods are
based on international testing and data management standards (e.g.
ISTQB, DAMA) with a specific and practical translation to the data
& analytics environment.
The course is set up in such a way that both data professionals and
testing professionals get to share a common framework, creating
‘one language’ regarding testing in data & analytics
environments. Accordingly, candidates will learn how to analyze
risks, define a purposeful testing strategy and design test cases
to reach and improve the quality goals. Also, candidates will learn
to improve governance of the testing environment, taking privacy
and information security into consideration.
Subjects
After this training, you will:
• be able to define a testing strategy - and to translate it to an
efficient test approach in data-oriented environments and
-projects.
• become familiar with useful test design techniques applicable to
data & analytics projects.
• be able to distinguish between different data quality attributes,
measure them and understand and apply data profiling techniques
• have become familiar with the specifics of the test environments
and security- and privacy aspects.
Program
Day 1:
• Creating a common foundation, explaining the basics of data
modelling, business Intelligence, data warehousing, data mining and
analytics
• Testing and the testing process
• Risk based testing and the Product Risk Analysis
• Testing reports and dashboards
Day 2:
• ETL Testing (1): Testing completeness
• ETL Testing (2): Testing transformations
• Data Quality, Data Profiling
• Tester’s Skills
• Test environments in Data & Analytics
• Privacy aspects and Information Security
Requirements
No specific education and/or training is required. Knowledge of
ISTQB is an advantage but not required.
Target Audience
The course is designed for testing professionals, business
analysts, data warehouse developers and BI-consultants.
Exam
After this course, attendees can plan an exam with Brightest (not
included). After passing this (multiple choice, 40 questions) exam
successfully, the attendee will be rewarded with the
internationally acclaimed certificate “DAU Certified Data &
Analytics Tester (Foundation Level)” including a Credly™ Badge to
demonstrate the new acquired knowledge.
Trainers
Armando Dörsek
Armando is a DAU Master Trainer and has trained many groups in
Certified Data & Analytics Tester. Armando holds several ISTQB
and TMap®Next certifications and demonstrates over two decades of
experience in ICT of which the last 9 years in Business
Intelligence, Data Warehousing and/or Analytics focused
environments.
Rogier Ammerlaan
Rogier is a DAU Master Trainer and has been active for many years
in the disciplines of software quality and agile development, both
in Finance and Industrial Automation. As a professional trainer,
Rogier has provided a vast number of trainings varying from testing
to business analysis.
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