Data Quality Tool - Quick Intro for Absolute Beginners | Udemy [Update 07/2025]
English | Size: 493 MB
Genre: eLearning[/center]

Master a data quality tool and the best practices to profile, cleanse, validate, and enrich your organization's data.

What you'll learn
Learn Data Quality tool functionality
Learn some of the best practices of using a data quality tool
Learn how to schedule, create alerts, profile data, report and more!
Learn how to use one of the best Data Quality tools

Disclaimer:
This course is not sponsored by, affiliated with, or endorsed by Collibra or its affiliates. All product names and trademarks are the property of their respective owners.

Modern data quality and observability tools are considered by many to be the best way to manage your data sets by learning through observation and automation rather than manual input. These platforms apply the latest advancements in data science and machine learning to the challenge of data quality, surfacing issues in minutes instead of months.

This is a course for absolute beginners who have never used a data quality and observability tool before. We will cover the main features without going into too much detail, so you can quickly become familiar with the tool's interface and capabilities.

What will you learn in this course:

How to set up an account with a data quality tool

Get familiar with a typical data quality tool interface

How connecting to data sources works

How running data quality jobs works

Understanding data scoring and quality metrics

Data patterns and profiling features

Duplicate detection

Schema monitoring

Record and source monitoring

Data formatting and shape validation

Outlier detection

Setting up data rules and behaviors

Scheduling data quality checks

Using scorecards and dashboards

Exploring data catalogs

Generating reports and alerts

Admin options and best practices

This course is for absolute beginners. If you have experience with data quality tools, you may find the course too basic. However, if you are new to data quality and observability tools, this will be a great starting point. I will also provide tips and resources for further learning after you master the basics.

If this is what you are looking for, enroll today and I will see you in the first lesson!

Who this course is for:
Data Professionals
Professionals looking to explore ways to automate their data quality maintenance

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