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    • Data Quality

    筛选依据

    ''data quality'的 181 个结果

    • University of Michigan

      University of Michigan

      Total Data Quality

      Beginner · Specialization

    • University of California, Davis

      University of California, Davis

      Healthcare Data Quality and Governance

      您将获得的技能: Database Administration, Extract, Transform, Load, Databases, Clinical Data Management, Data Management

      4.5

      (58 条评论)

      Intermediate · Course

    • University of Michigan

      University of Michigan

      The Total Data Quality Framework

      Beginner · Course

    • University of Colorado System

      University of Colorado System

      Clinical Data Models and Data Quality Assessments

      您将获得的技能: Data Analysis, Extract, Transform, Load, Data Model, Analysis, Gratitude, Data Management, Modeling

      4.2

      (54 条评论)

      Intermediate · Course

    • University of Michigan

      University of Michigan

      Measuring Total Data Quality

      Beginner · Course

    • University of Michigan

      University of Michigan

      Design Strategies for Maximizing Total Data Quality

      Beginner · Course

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      DeepLearning.AI

      DeepLearning.AI

      Machine Learning Data Lifecycle in Production

      您将获得的技能: Business Analysis, Probability & Statistics, Data Analysis, Security Strategy, Feature Engineering, Exploratory Data Analysis, Machine Learning, Extract, Transform, Load, Data Visualization, Statistical Visualization, Metadata, Data Management, Security Engineering, Computer Networking, Network Security

      4.4

      (429 条评论)

      Advanced · Course

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      IBM

      IBM

      ETL and Data Pipelines with Shell, Airflow and Kafka

      您将获得的技能: Theoretical Computer Science, Apache, Software Engineering, Programming Principles, Computer Architecture, Computer Programming, Software Architecture, Extract, Extract, Transform, Load, Microarchitecture, Data Management

      4.5

      (87 条评论)

      Beginner · Course

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      The University of Sydney

      The University of Sydney

      Using clinical health data for better healthcare

      您将获得的技能: Business Analysis, Big Data, Database Administration, Databases, Leadership and Management, Entrepreneurship, Data Analysis, Resource, Clinical Data Management, Innovation, Statistical Analysis, Data Management, Data Visualization, Research and Design, Analysis

      4.7

      (85 条评论)

      Beginner · Course

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      University of California, Irvine

      University of California, Irvine

      Data Science Fundamentals

      您将获得的技能: Analysis, Big Data, Business Analysis, Communication, Data Analysis, Data Management, Data Structures, General Statistics, Human Resources, Leadership and Management, Machine Learning, Natural Language Processing, Probability & Statistics, Statistical Analysis, Strategy and Operations, Theoretical Computer Science

      4.1

      (114 条评论)

      Beginner · Specialization

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      Google Cloud

      Google Cloud

      Launching into Machine Learning

      您将获得的技能: Business Analysis, Theoretical Computer Science, Probability & Statistics, Algorithms, Tensorflow, Python Programming, Computer Programming, Exploratory Data Analysis, Data Analysis, Regression, Statistical Programming, Business Psychology, Machine Learning, Entrepreneurship, Applied Machine Learning, Deep Learning, Bigquery

      4.6

      (4.2k 条评论)

      Beginner · Course

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      Johns Hopkins University

      Johns Hopkins University

      Data Science in Real Life

      您将获得的技能: Data Analysis, Application Development, Probability & Statistics, Software Engineering, Forecasting, Software Engineering Tools, Communication, Analysis, Econometrics, Experiment, General Statistics, Writing

      4.4

      (2.3k 条评论)

      Mixed · Course

    与 data quality 相关的搜索

    healthcare data quality and governance
    total data quality
    measuring total data quality
    the total data quality framework
    clinical data models and data quality assessments
    design strategies for maximizing total data quality
    data science methods for quality improvement
    gis data formats, design and quality
    1234…16

    总之,这是我们最受欢迎的 data quality 门课程中的 10 门

    • Total Data Quality: University of Michigan
    • Healthcare Data Quality and Governance: University of California, Davis
    • The Total Data Quality Framework: University of Michigan
    • Clinical Data Models and Data Quality Assessments: University of Colorado System
    • Measuring Total Data Quality: University of Michigan
    • Design Strategies for Maximizing Total Data Quality: University of Michigan
    • Machine Learning Data Lifecycle in Production: DeepLearning.AI
    • ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
    • Using clinical health data for better healthcare: The University of Sydney
    • Data Science Fundamentals: University of California, Irvine

    关于 Data Quality 的常见问题

    • 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.‎

    此常见问题解答内容仅供参考。建议学生多做研究,确保所追求的课程和其他证书符合他们的个人、专业和财务目标。
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