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Understanding Data Quality

Understanding Data Quality

Badge awarded to

Bassel Doughan

This training was developed in partnership with McMaster University's Manufacturing Research Institute. The Understanding Data Quality badge certifies that the learner has completed a self-paced e-learning module that has helped to develop a general understanding of how to identify good and bad data and using good data to make effective business decisions.

Issued on 09 Sep 2026 by

EMC

EMC

#bigdata #data #dataanalysis #effectivedecisionmaking #manufacturing #problemsolving #quality

Issuer

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EMC

info@emccanada.org

EMC is a unique Canadian not-for-profit organization dedicated to helping manufacturers grow and become more competitive. Our education, training and development programs build excellence at all levels and every stage of a career.

EMC est un organisme canadien sans but lucratif unique en son genre, qui se consacre à aider les fabricants à croître et à devenir plus concurrentiels. Nos programmes d’éducation, de formation et de perfectionnement favorisent l’excellence à tous les niveaux et à chaque étape d’une carrière.

Criteria

Learning Outcomes:

  • Understand the importance of data and data quality
  • Understand how to collect good-quality data including:
    • Understanding the problem to understand the necessary questions to be answered; and
    • Defining what data you need, where you will get the data from, how to collect it, who will collect it and where it should be stored
  • Ability to assess the quality of existing data including:
    • Understanding where, how and when data was collected
    • Identifying missing, duplicate or errors within data
    • Ensuring data validity by ensuring the collection of a statistically significant number of data points
  • Understand how to use good-quality data to make effective business decisions

Module Content

  • Text and multimedia presentations that introduce key concepts and apply them to the manufacturing workplace
  • Videos and manufacturing examples to add depth and relevance

Assessment: This is a self-paced module that concludes with a final knowledge check. Responses are automatically assessed. Multiple attempts are permitted.

Estimated Effort: 15 minutes

EMC updates learning content on a regular basis. Version: 2024-1