Certified Professional in Data Quality Assurance Systems

Thursday, 12 February 2026 12:50:51

International applicants and their qualifications are accepted

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Overview

Overview

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Certified Professional in Data Quality Assurance Systems (CP-DQAS) certification validates your expertise in data quality management.


This rigorous program covers data governance, data profiling, and data cleansing techniques.


It's designed for data analysts, database administrators, and IT professionals seeking career advancement.


The CP-DQAS certification demonstrates your ability to implement and maintain robust data quality assurance systems.


Master data validation, data quality metrics, and reporting best practices.


Become a Certified Professional in Data Quality Assurance Systems and boost your career prospects. Explore the program today!

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Certified Professional in Data Quality Assurance Systems training equips you with in-depth knowledge of data quality methodologies and best practices. This intensive program covers data profiling, cleansing, and validation techniques, crucial for data governance and compliance. Gain expertise in data quality management tools and processes, boosting your career prospects in analytics, IT, and data science. Our unique, hands-on approach ensures practical skills development, making you a highly sought-after data quality professional. Become a Certified Professional in Data Quality Assurance Systems today and unlock exciting career opportunities.

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Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Data Quality Management Fundamentals
• Data Profiling and Assessment Techniques
• Data Quality Rule Development and Implementation
• Data Quality Assurance Systems: Design and Architecture
• Data Cleansing and Remediation Strategies
• Metadata Management for Data Quality
• Data Governance and Compliance (GDPR, CCPA, etc.)
• Data Quality Metrics and Reporting
• Data Quality Auditing and Continuous Improvement

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:

1 month (Fast-track mode): 140
2 months (Standard mode): 90

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role (Data Quality Assurance Systems) Description
Senior Data Quality Analyst Leads data quality initiatives, defining strategies, and implementing solutions for complex data challenges. Extensive experience in data governance and Data Quality Assurance Systems required.
Data Quality Engineer Develops and maintains data quality tools and processes. Designs and implements Data Quality Assurance Systems to ensure data accuracy and integrity.
Data Quality Specialist Focuses on specific data quality aspects, such as data cleansing, validation, and profiling. Contributes to the development and maintenance of Data Quality Assurance Systems.
Data Governance Manager Oversees data governance policies and procedures, ensuring compliance with data quality standards. Plays a critical role in the strategic planning and implementation of Data Quality Assurance Systems.

Key facts about Certified Professional in Data Quality Assurance Systems

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Becoming a Certified Professional in Data Quality Assurance Systems signifies a commitment to mastering the intricacies of data quality management. This certification equips professionals with the skills and knowledge to design, implement, and manage robust data quality systems.


The learning outcomes for a Certified Professional in Data Quality Assurance Systems program typically include a comprehensive understanding of data quality dimensions, methodologies for data profiling and cleansing, and the implementation of data quality rules and monitoring procedures. Participants learn to leverage data quality tools and techniques to ensure data accuracy, completeness, and consistency within organizational systems. Mastering data governance best practices is also a key element.


The duration of the certification program varies depending on the provider, ranging from intensive short courses to more extensive programs spanning several weeks or months. Some programs offer flexible online learning options, while others utilize a blended learning approach combining online and in-person sessions. Regardless of format, expect a rigorous curriculum designed to meet industry demands.


In today's data-driven world, the Certified Professional in Data Quality Assurance Systems certification holds significant industry relevance across numerous sectors. From healthcare and finance to retail and technology, organizations rely on high-quality data for effective decision-making and operational efficiency. Professionals with this certification are highly sought after for their ability to ensure data integrity, reduce risks associated with poor data quality, and ultimately drive better business outcomes. This is reflected in improved data accuracy, enhanced compliance, and better reporting capabilities.


The skills obtained, such as data validation, data lineage, and data stewardship, are directly applicable to real-world challenges, making this certification a valuable asset for career advancement in data management, quality assurance, and business intelligence roles. Data profiling and metadata management are further key areas covered.

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Why this course?

Certified Professional in Data Quality Assurance Systems (CP-DQAS) certification is increasingly significant in the UK's booming data-driven economy. The UK's digital economy contributes significantly to its GDP, and with this growth comes an even greater emphasis on data integrity and accuracy. Recent reports suggest a rising demand for professionals skilled in data quality management, mirroring global trends. A CP-DQAS qualification demonstrates a deep understanding of data quality principles, methodologies, and best practices, addressing the critical need for reliable data analysis and decision-making.

The need for professionals with CP-DQAS credentials is underscored by statistics. For example, a recent survey indicated that 70% of UK businesses experienced data-related issues impacting their bottom line. Furthermore, an estimated 30% of businesses lack the internal expertise to effectively manage data quality.

Issue Percentage of UK Businesses Affected
Data Inaccuracy 45%
Data Loss 25%
Data Security Breaches 15%

Who should enrol in Certified Professional in Data Quality Assurance Systems?

Ideal Audience for Certified Professional in Data Quality Assurance Systems Description
Data Analysts & Scientists Individuals striving for data integrity and advanced data analysis skills, seeking career progression in the UK's booming data sector. (Note: UK data science roles are projected to grow by X% by Y year, according to source Z.)
IT Professionals & Database Administrators Professionals responsible for database management and data governance, wanting to enhance their data quality expertise and achieve better data accuracy and reliability. Implementing robust data quality assurance systems is crucial for compliance and efficiency.
Business Intelligence Professionals Those involved in reporting, analysis, and decision-making based on data, seeking to elevate their understanding of data quality management and ensure data-driven insights are reliable and actionable.
Project Managers Project managers overseeing data-centric projects, aiming to incorporate data quality best practices into their workflows, reducing project risks and delays associated with poor data quality.