Question 1

What is data quality?

Accepted Answer

When you take a look at the condition of the data — how well it’s meeting your needs based on metrics like accuracy, consistency and completeness — you’re looking at data quality. And, as with most things, you want your data to be high quality so you know you’re generating the most useful, helpful results possible. When gathering data, it’s essential to ensure those data accurately and fully represent the information you’re attempting to capture with them. Those data need to be reliable and consistent so you’re sure the conclusions you’re drawing from them are precise and correct.

Question 2

Why is data quality important to learn?

Accepted Answer

Whether you’re reading statistics in the news or you plan to work with data one day, understanding data quality can help you better judge everything from the integrity with which a study was conducted to the metrics you’ll use as you set up a large research project. People often make big decisions based on data, and knowing how valid, accurate and applicable those data are can influence those choices. When data aren’t high quality, they don’t provide the right insights — and the right insights are truly what you need in order to avoid poor decision-making and other unfavorable outcomes. When you learn about data quality, you become better at assessing those data and utilizing them, and the choices you make — or the software you’re developing for data analysis — will have more integrity as a result.

Question 3

What jobs can I get in data quality?

Accepted Answer

Jobs that involve working closely with data will have you assessing data quality on a regular basis. You might work as a data quality specialist who defines and measures data quality standards for a company. Or, perhaps you’ll find a position as a data governance and quality analyst who integrates data into different systems to generate new insights about their meaning and relevance. With new knowledge about what data quality is and how to assess it, you’ll be better prepared to enjoy these and other careers.

Question 4

How can online courses help me learn data quality?

Accepted Answer

Taking online classes about everything from data analysis to data models can help you discover the best ways to compile, assess and use data in a variety of settings. And the setting you’ll enjoy while learning is totally up to you — that’s one of the big benefits of taking classes online. You have the freedom to learn when you’re ready and on the schedule that works best for you, whether you plan to devote hours a day to learning or want to work towards a certificate a few nights a week after work. With your self-direction and added support from expert instructors, you’ll gain new insights and applicable skills from online coursework that easily integrates into your life. Taking courses online helps you learn about compiling and evaluating data and making sure it's high-quality, comprehensive and accurate.

Filter by

337 results for "data quality"

Total Data Quality

The Total Data Quality Framework

Clinical Data Models and Data Quality Assessments

Measuring Total Data Quality

Healthcare Data Quality and Governance

Design Strategies for Maximizing Total Data Quality

Machine Learning Data Lifecycle in Production

ETL and Data Pipelines with Shell, Airflow and Kafka

Data Science Fundamentals

Using clinical health data for better healthcare

Launching into Machine Learning

Healthcare Data Models

Searches related to data quality

In summary, here are 10 of our most popular data quality courses

Frequently Asked Questions about Data Quality

What is data quality?‎

Why is data quality important to learn?‎

What jobs can I get in data quality?‎

How can online courses help me learn data quality?‎

Start or advance your career

Browse popular topics

Popular courses and articles

Earn a degree or certificate online

Coursera

Community

More