The iData Quality Academy is on a mission to train individuals on data quality. We've designed the Getting Started with Data Quality Course to help you build, grow and scale your data career.



In this course, we cover the following topics:
  • Importance of data quality - Jordan Morrow defines the importance of data quality and discusses how it relates to data literacy
  • Data profiling - George Firican provides insights into data profiling and introduces commonly used techniques (column, table, cross table profiling). Stuart Reyner provides an iData demo of data profiling
  • Data preparation - Kevin Jackson & Stuart Reyner introduce data preparation including a discussion of data reformatting, cleansing, and deduplication
  • Data transformation and assurance - T. Scott Clendaniel discusses the impact of extract, transform, load (ETL) on data quality
  • Data quality impact on AI and Machine Learning - Susan Walsh provides consequences of poor data quality on AI and Machine Learning
  • Data obfuscation - Kate Strachnyi provides an overview of data obfuscation techniques, benefits, and challenges. Stuart Reyner shows an iData demo of data obfuscation
  • The cost of poor data quality - George Firican highlights the potential costs associated with poor data quality, provides examples, and discusses calculating the cost of bad data quality
  • Relationship between data quality & data visualization - Kate Strachnyi introduces a method of using data visualization to uncover poor data quality
  • Selling data quality to your business - Scott Taylor - the Data Whisperer teaches you how to build the business case for data quality by using the 5 pillars of master data and aligning with the business strategy to demonstrate value.
In addition to expanding your knowledge of various aspects of data quality, you will also receive a certificate of completion that demonstrates your commitment. 


Getting Started with Data Quality Course Instructors

Our course is led and created by some of the world’s most influential and qualified data advocates. A blend of award-winning accomplished authors, speakers and accredited industry leaders in data quality, data science and analytics.

Course Curriculum

  Introduction - Alasdair Moore
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  Importance of data quality - Jordan Morrow
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  Data profiling - George Firican
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  Data profiling - Stuart Reyner
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  Data preparation - Kevin Jackson & Stuart Reyner
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  Data transformation & assurance - T. Scott Clendaniel
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  Data quality impact on AI & ML - Susan Walsh
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  Data obfuscation - Kate Strachnyi & Stuart Reyner
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  The cost of poor data quality - George Firican
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  Relationship between data quality & data visualization - Kate Strachnyi
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  Selling data quality to the business - Scott Taylor
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  Conclusion - James Briers
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Why sign up for our data quality training?

Even if your career has never involved data quality, data is fast becoming the world’s most valued resource, with data related jobs dominating the landscape

Learn from global, M.B.A, M.S and M.Q.M accredited industry experts, industry leaders, influential speakers and leading lights in data quality

Empower your knowledge of data quality, helping you grow and scale your career in data

Sign up and Build, Grow and Scale your career in 2020 and beyond!

Learn from award-winning, renowned, influential data leaders, and empower your knowledge of data quality. Whether you are starting out, a seasoned professional, or need to advance your career with the addition of data quality and its certification of completion to your accomplishments.


Select a pricing plan and enroll in course

$249

Full Payment

3 payments of $83/m

Monthly Payments

12 payments of $25/m

Monthly Payments

"We had no concept of the level of faults in our data, until we took the iData quality training course which allowed us to quickly and efficiently un-earth and, crucially, resolve 10s of 1000s of data errors which probably would not have been discovered in our data governance framework without the training!"

Principal of Data Governance

Senior Privacy Specialist, Global Bank.