The 5 Best Online Data Quality Training and Courses for 2022

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

Data quality relates to the overall usefulness of data within an organization and is an essential characteristic that determines whether the data can be used in the decision-making process. As regulations become more stringent and compliance frameworks become more commonplace, organizations will increasingly focus on software dedicated to data quality, ensuring that they maintain their data in a way that protects them from internal and external threats.

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

The Best Data Quality Training

TITLE: Data processing, analysis and AB testing with SQL

OUR OPINION : This course helps you learn how to segment and analyze data by segment using windowing functions and how to use case statements to perform conditional logic to answer a data science inquiry.

Platform: Coursera

The description: This course enables you to apply the SQL skills taught in “SQL for Data Science” to four increasingly complex and authentic data science research case studies. Students will learn how to convert timestamps of all types into common formats and perform date/time calculations. You will also select and run the optimal JOIN for a data science investigation and clean data in an analysis dataset by inferring, running quality checks, filling in and handling null values.

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More “top rated” Udemy paths: Process data from dirty to clean

TITLE: Learning about data governance

OUR OPINION : This course helps you learn about the components of data governance, its strategic value, the roles and responsibilities of stakeholders, and the overall steps an organization should take to manage, monitor, and measure the program.

Platform: LinkedIn Learning

The description: In the age of big data and data science, most companies and institutions realize the power of data. Yet far too many people fail to appreciate the legal and fiscal responsibilities and obligations associated with it. 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 shares 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

The description: In this course, Dr. Jonathan Reichental introduces the subject of data governance in terms anyone can understand and helps you discover why your organization can benefit from data governance, how it is implemented, and why it is essential to business. compliance and risk reduction efforts. Jonathan also covers the role of data governance 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 walks students through the details of data confidentiality, privacy, and data security. This training can be completed in just under an hour and a half, and users can continue with other Bhajaria courses in this series.

Platform: LinkedIn Learning

The description: In this course, instructor Nishant Bhajaria explains how to create an architecture to manage data collection and measure risk, as well as ensure privacy against that risk. It also dives into the data inventory process, explaining how to best approach it and determine if it’s successful. Finally, Nishant provides context on executive communication on privacy governance.

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TITLE: Data Warehouse ETL Testing and Data Quality Management A-Z

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

Platform: Skills sharing

The description: Learn the essentials of ETL data warehouse testing and data quality management with this step-by-step tutorial. This course introduces you to the basics of ETL testing, frequently used data quality queries, reporting, and monitoring. In this tutorial, we will learn how to create database views for data quality monitoring and how to create data quality visualizations and reports. The course contains training material, where you can practice, apply your knowledge and create an application from scratch. The training materials are provided in an Excel file which you can download to your computer.

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NOW READ: The Best Data Quality Books to Consider

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