The 5 Best Data Quality Training and Online Courses for 2022

Solutions Review editors have compiled this list of the best data quality training courses and online courses to consider.

Data quality refers to the overall usefulness of data within an organization and is a key characteristic that determines whether data can be used in the decision-making process. As regulations become more stringent and compliance frameworks more common, organizations will be increasingly interested in dedicated data quality software to ensure they keep their data safe from internal and external threats.

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With that in mind, we’ve compiled this list of the best data quality training and online courses to consider if you’re looking to expand your data management skills for work or play. This is not an exhaustive list but one with the best data quality training and online courses from trusted online platforms. We’ve made sure to mention and link to related courses on each platform that might be worth exploring as well.

The best data quality training

TITLE: Data wrangling, analysis and AB testing with SQL

OUR OPINION: This course will help you learn how to segment and analyze data per segment, using window functions and use case statements to perform conditional logic to answer a data science query.

Platform: Coursera

Description: This course allows you to apply the SQL skills taught in SQL for Data Science to four increasingly complex and authentic case studies of data science investigations. Participants learn to convert all types of time stamps into common formats and to perform date/time calculations. They also select and perform the optimal JOIN for a data science query and clean data in an analysis dataset by de-duplication, quality checking, padding, and zero-handling.

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Other “Top Rated” Udemy Paths: Process data from dirty to clean

TITLE: Learn data governance

OUR OPINION: This course will help you learn the components of data governance, its strategic value, stakeholder roles and responsibilities, and the general steps an organization must take to manage, monitor, and measure the program.

Platform: LinkedIn learning

Description: In the age of big data and data science, most companies and institutions recognize the power of data. But far too many fail to recognize the associated legal and tax responsibilities and liabilities. The stakes are high, but a well-rounded data governance process can help ensure the consistent quality, availability, integrity, and usability of your data.

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TITLE: Learning Information Governance

OUR OPINION: This training provides ideas on how organizations should think about managing, monitoring, and measuring their data governance efforts. It is led by award-winning technology leader Jonathan Reichental.

Platform: LinkedIn learning

Description: In this course, Dr. Jonathan Reichental makes data governance easy for everyone to understand and helps you understand why data governance can benefit your organization, how it is implemented, and why it is essential to compliance and risk mitigation efforts. Jonathan also covers the role of data management in emerging technology areas such as knowledge graphs, artificial intelligence and the Internet of Things.

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TITLE: Privacy by design: data classification

OUR OPINION: In this intermediate level course, Nishant Bhajaria guides the students through the details of data protection, privacy protection and data security. This training can be completed in just under an hour and a half and users can proceed to other Bhajaria courses in this series.

Platform: LinkedIn learning

Description: In this course, instructor Nishant Bhajaria explains how to create an architecture to manage data collection and measure risk and ensure privacy protection in relation to that risk. He also dives deep into the data inventory process, explaining how best to approach it and knowing if it’s successful. Finally, Nishant provides context for executive communications on privacy governance.

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TITLE: Data Warehouse ETL Tests & Data Quality Management AZ

OUR OPINION: This Skillshare training provides an introduction to ETL testing, different data categories and data quality, creating database views and more.

Platform: skill share

Description: Learn the basics of ETL data warehouse testing and data quality management with this step-by-step tutorial. This course walks you through the fundamentals of ETL testing, commonly used data quality queries, reporting, and monitoring. In this tutorial, you will learn how to create database views for data quality monitoring and create data quality visualizations and reports. The course includes training materials to help you practice, apply your knowledge, and build an app from scratch. The training materials are provided in an Excel file that you can download to your computer.

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READ NOW: The Best Data Quality Books You Should Consider

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Timothy King
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