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    • Data Quality

    Data Quality Courses Online

    Master data quality management for ensuring accurate and reliable data. Learn to measure, monitor, and improve data quality.

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    Explore the Data Quality Course Catalog

    • U

      University of Michigan

      Total Data Quality

      Skills you'll gain: Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      38 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Michigan

      The Total Data Quality Framework

      Skills you'll gain: Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Healthcare Data Quality and Governance

      Skills you'll gain: Data Analysis, Data Management, Clinical Data Management, Data Model

      4.6
      Rating, 4.6 out of 5 stars
      ·
      104 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Data Science Methods for Quality Improvement

      Skills you'll gain: Data Analysis, General Statistics, R Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Intermediate · Specialization · 3 - 6 Months

    • B

      Board Infinity

      Data Governance with Databricks

      Skills you'll gain: Data Management

      2.9
      Rating, 2.9 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Meta

      Introduction to Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      64 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Michigan

      Design Strategies for Maximizing Total Data Quality

      Skills you'll gain: Data Analysis

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Michigan

      Measuring Total Data Quality

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of California, Davis

      GIS Data Formats, Design and Quality

      Skills you'll gain: ArcGIS

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of California, Davis

      Data Wrangling, Analysis and AB Testing with SQL

      Skills you'll gain: Data Analysis, Data Management, Databases, Exploratory Data Analysis, SQL, Data Model, Problem Solving, Database Administration, Database Application, Extract, Transform, Load, Statistical Tests

      3.3
      Rating, 3.3 out of 5 stars
      ·
      972 reviews

      Intermediate · Course · 1 - 4 Weeks

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      G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Analysis, SQL, General Statistics, Spreadsheet Software, Databases, Extract, Transform, Load, Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17K reviews

      Beginner · Course · 1 - 3 Months

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      I

      IBM

      Data Engineering Foundations

      Skills you'll gain: Data Engineering, Data Management, Extract, Transform, Load, Databases, Network Security, Big Data, Data Analysis, Data Warehousing, Leadership and Management, SQL, Cloud Computing, Computer Programming, Data Science, NoSQL, PostgreSQL, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      53K reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to data quality

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    total data quality
    assessing data quality with dataplex
    the total data quality framework
    measuring total data quality
    clinical data models and data quality assessments
    design strategies for maximizing total data quality
    clinical trials data management and quality assurance
    1234…456

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

    • Total Data Quality: University of Michigan
    • The Total Data Quality Framework: University of Michigan
    • Healthcare Data Quality and Governance: University of California, Davis
    • Data Science Methods for Quality Improvement: University of Colorado Boulder
    • Data Governance with Databricks: Board Infinity
    • Introduction to Data Management: Meta
    • Design Strategies for Maximizing Total Data Quality: University of Michigan
    • Measuring Total Data Quality: University of Michigan
    • GIS Data Formats, Design and Quality: University of California, Davis
    • Data Wrangling, Analysis and AB Testing with SQL: University of California, Davis

    Frequently Asked Questions about Data Quality

    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.‎

    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.‎

    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.‎

    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.‎

    Online Data Quality courses offer a convenient and flexible way to enhance your knowledge or learn new Data Quality skills. Choose from a wide range of Data Quality courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Data Quality, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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