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CDMT Data Quality Analyst


Prices Starting From £175 – Get The Best Value ‘The Works’ Package for CDMT Data Quality Analyst Diploma For Only £700!

Why Train as a Data Quality Analyst?


Huge Demand

Data quality skills have become vital for organisations, as they realise the importance and benefits of finding and fixing the low-quality data they hold. With average salaries of $56,000 in the USA, £42,500 in the UK and ₹500,000 in India, today is the perfect opportunity to get the skills needed to further your career, by taking advantage of DQ Rule Books’ Certified CDMT Data Quality Analyst training courses.

Add Great Skills to your CV

As a leading provider of data management training, DQ Rule Books has developed comprehensive training courses which allows users to become certified as a data quality analyst. Future employees will be able to see you have acquired the relevant knowledge by completing our CDMT Data Quality Analyst Graduate Diploma, which is certified by the CDMT Advisory Council.

Find out more about Certified Data Management Training (CDMT) Certification here.

CDMT Data Quality Analyst Graduate Diploma



Discounted Price Plans

How It Works

The diploma is split into 3 different pillars which allows users to start at the beginner level and work their way up to the advanced level. This means users with no prior knowledge around the area can start training at a pace that suits them. See below to find out more information about the different pillars.

Start Training Across Different Levels
The CDMT Data Quality Analyst Graduate Diploma is split into different pillars, which allows users to start from a beginner level and work up to an advanced level. Click below to see what is covered in each level. Click here to find out more about the Graduate Diploma.
Data Quality Analyst – Beginner

The Data Quality Analyst – Beginner pillar starts by providing an overview of what data management is and why it is important for an organisation to effectively manage the data they hold. The pillar then proceeds to explore how data quality assessment & control is used to improve the organisation’s management of data.

Following this we learn what critical data is and how this critical data will be documented in the CDE data standard. We explore why critical data is important, why it is required to be of high quality and how the actions which are needed to maintain this quality will be documented.

The pillar then goes on to explain some of the common techniques used when trying to improve the quality of data in an organisation. The process of profiling the data to see the level of quality along with the creation of data quality rules to assess the quality of data are some of the areas explained. The pillar also explains some of the methods used by organisations to fix the quality of poor data which has been identified. Techniques such as data transformations and standardisations along with the use of data quality domains is detailed.

All of this will help users get a clear understanding of what is needed to be a data quality analyst by understanding how poor data quality needs to be identified and fixed.

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Data Quality Analyst – Intermediate

The Data Quality Analyst – Intermediate pillar starts by giving users a better understanding of the data and processes they would be working with. It explains why it important to identify the organisations critical data and business processes, along with why it is important to prioritise these in terms of importance as these will be the ones focused on when trying to improve the quality of data.

It is important for a data quality analyst to know where all the data they will be working with is being held, so the pillar describes how organisations use data modelling and models along with data lineage, to better understand where and how their data is kept. This is all important for data sourcing, which is crucial for a data quality analyst to have a good understanding in, as a key area for data quality analysis getting the data from the right areas of the business correctly.

The pillar also describes how users can use analysis techniques such as data relationship discovery and data dependency analysis to identify any data quality issues that need to be addressed. This all leads on to root cause analysis, which will help users understand the importance of finding and fixing the root cause of the problem to help permanently fix data quality issues.

The pillar then finishes by detailing how data quality issues management is used for the consistent capture and reporting of data quality issues, and then how data management incentivisation can be used to help the whole organisation work together to achieve better data quality.

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Data Quality Analyst – Advanced

The Data Quality Analyst – Advanced pillar starts of by explaining what data governance and data understanding are and why they are important. The pillar also helps users understand what data ownership is and who is responsible and accountable for the data they need to fix.

The pillar goes into finer details which would be useful for data quality analysts around data understanding such as data keys and how anyone in an organisation can use a business glossary to easily get a better understanding of what the data held by the organisation is and the processes it is involved in.

The pillar also details how data quality analysts can use data lineage testing and auditing to find problems with how data is stored and used within the organisation.

As fixing data quality problems may also require the data quality analyst to recommend, design, implement and monitor quality procedures for use in the data production process, the pillar details how processes and procedures, process flow documentation, lean methodology, solution design, back book remediation and root cause remediation are used to help fix data quality issues.

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Buying Options

The CDMT Data Quality Analyst Graduate Diploma comes with options of buying at different tiers, based on how much training the users require to pass the certification test.

Tier 1

Tier 1 courses come with access to relevant training materials such as presentations to easily digest the specific content they desire to learn, videos that discuss in more depth the concepts that have been visited in the Presentations, Introductory Questions which allow users to test their knowledge on content covered in each presentation, and sets of Multiple Choice 1 questions to ensure users have thoroughly understood the topics covered in the Presentations and Videos.

Tier 2

Tier 2 courses provide users with additional training materials which will help them gain the extra knowledge to put them in a great position to take the certification test. Tier 2 users will gain access to Additional Videos around the topic, Advanced Multiple Choice 2 questions and access to Interactive Exercises which give the users an opportunity to test the knowledge that they have learned in a more interactive way, in many cases using real world examples to cement their knowledge.

Certification Exam

Once users feel they have adequately completed their learning of all training modules, they have the option to purchase attempts at completing the certification exam.

The certification exam is a 90 min/180 question test which contains a mix of Introductory, Multiple Choice 1, Multiple Choice 2 and Interactive Exercises from all the modules across all 3 levels of the Graduate Diploma. Users will have ample to opportunity to get prepared for the exam, with over 100 practice tests available covering all modules across the Diploma.

The Certification Exam takes questions from all the resources covered in Tier 2 packages, which means users who have purchased the Tier 2 package will be in a great position to pass the required Certification Exam and get certified as a data quality analyst.

Structured Price Plans

Users who do not want to enrol to the full Graduate Diploma, can choose to sign up to any of the 3 pillars separately as individual certificate courses. This way users can choose a course which best suits their needs. All 3 of the pillar courses each have a corresponding Certification Exam (30 min/60 question) which users can purchase separately, to allow them to be certified by CDMT as having completed the course.

This best accommodates users who do not feel they need to have a full data quality diploma on their CV but would still like to have some certified data quality skills.

It is also ideal for users who would like to have a full diploma, however do not have the time or resources to complete the full Graduate diploma right now. Nevertheless, users who do manage to get certified in all three courses individually, will automatically be given certification of completing the CDMT Data Quality Analyst Graduate Diploma.

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The CDMT Data Quality Analyst Graduate Diploma along with all other individual courses are available for discounted prices for a limited time.

Take advantage of this sale by browsing the sale prices below and signing up for the course you need. Start your first steps in getting certified as a data quality analyst.

All Prices exclude VAT, if you are outside of the UK and are not in an EU member state then you do not have to pay VAT when signing up for a course at checkout.