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.

筛选依据

''data quality'的 181 个结果

Wharton Business and Financial Modeling Capstone

Data Wrangling, Analysis and AB Testing with SQL

Data Analysis and Interpretation

Data-Driven Decision Making (DDDM)

Take the Lead on Healthcare Quality Improvement

Talend Data Integration Certification Preparation training

Using Data for Healthcare Improvement

Introduction to Data Analytics for Accounting Professionals

Cloud Data Engineering

Learn to Program: Crafting Quality Code

Introduction to Indoor Air Quality

Web Applications and Command-Line Tools for Data Engineering

与 data quality 相关的搜索

总之，这是我们最受欢迎的 data quality 门课程中的 10 门

关于 Data Quality 的常见问题

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?‎

开拓职业生涯或促进职业发展

浏览热门主题

热门课程和文章

在线获得学位或证书

Coursera

社区

更多