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Data Profiling

The Data Profiling module explains what data profiling is and why it is useful.

The typical key outputs from data profiling are explained such as;

  • Frequency distribution
  • Max and min values
  • Length analysis etc.
Data Profiling

Learning Objectives:

Learn what data profiling is.

Learn the most common outputs from data profiling:

  • Frequency Distribution
  • Minimum and Maximum value analysis is.
  • Length analysis
  • Data Type Analysis
  • Format analysis
  • Uniqueness Analysis
  • Completeness Analysis

Who is Suitable?

No prior knowledge is required so all Data Practitioners can undertake the course.

As this is a data assessment and control module the content is especially useful for data profilers and data analysts but would also be a useful for a wide spectrum of data roles; including but not exclusive to data owners, data modellers, data architects and data lineage analysts.


  • What is data profiling?
  • Why would an organisation undertake data profiling?
  • What are some typical outputs from data profiling?
  • How can data profiling help to identify primary keys?
  • What is the difference between data profiling and data quality rules?
  • Can you explain high and low cardinality?
  • Why is it useful to split data quality into dimensions?
  • Does the presentation of data differ between data analysis and data profiling?
  • What are outliers?
  • What is meant by data that is not fit for purpose?


An Interactive Presentation

10 Videos

60+ Questions

10+ Interactive Questions

3 Final Practice Tests – 30 questions over 30 minutes

Final Examination – 60 questions over 30 minutes


 4 hours of learning materials to complete.

Valid for 12 months

Only £100.00 + VAT