Data quality assurance | techniques for data quality assessment

We are thrilled to have you join us on this important journey toward mastering the principles of clean, reliable, and accurate data. In today’s data-driven world, ensuring data quality is critical for making sound decisions and building trust in any system. Throughout this course, you’ll gain the skills to identify data issues, apply validation techniques, and implement best practices for maintaining high-quality data.

What Is Data quality assurance

Data quality assurance is the process of ensuring that data is accurate, complete, reliable, and consistent throughout its lifecycle. It involves implementing standards, validation rules, and regular checks to detect and correct errors, duplicates, or inconsistencies in data. The goal is to maintain high data integrity so that decisions based on the data are trustworthy and effective.

What Is Learned In This Course

Understand what data quality means and why it matters
Identify common data errors and problems
Use simple methods to check and clean data
Set up rules and checks to keep data accurate
Use tools (like Excel or Google Sheets) to improve data quality
Keep your data consistent, complete, and up to date
Create and follow a data quality checklist
Understand the basics of data protection and privacy

Who Should Enroll

Business Analysts
Financial Analysts
Data Analysts
Administrative Professionals
Job Seekers
Team Leaders and Managers

Skills Gained After This Course

Understand key concepts of data quality
Spot and fix common data errors (duplicates, missing or wrong entries)
Use Excel or Google Sheets to clean and organise data
Apply data validation rules to prevent future mistakes
Standardise data for consistency and accuracy
Create and use a data quality checklist
Maintain clean data through regular checks and audits
Handle data responsibly, following basic privacy and protection rules

Overview

This course in Data Quality Assurance helps you understand how to check and improve the accuracy and reliability of data. You’ll learn simple methods to spot errors, keep data clean, and make sure information is correct and useful. It’s perfect for beginners who work with data and want to make better decisions based on trusted information.

Description

This assessment is designed to evaluate your understanding of key data quality principles, including accuracy, consistency, completeness, and reliability. You’ll be tested on your ability to identify data issues, apply validation techniques, and implement best practices to ensure high-quality data. Ideal for professionals working with data, this assessment helps confirm your readiness to maintain and manage trustworthy, error-free information in any data-driven environment.