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    • Data Quality

    筛选依据

    ''data quality'的 187 个结果

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      Coursera Project Network

      DataViz - Grammaire des Graphiques avec Python

      Intermediate · Guided Project · Less Than 2 Hours

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      Johns Hopkins University

      Calculus through Data & Modeling: Applying Differentiation

      您将获得的技能: Mathematical Theory & Analysis, Calculus, Linearity, Approximation, Mathematics, Differential Equations

      4.7

      (20 条评论)

      Intermediate · Course · 1-3 Months

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      University of Alberta

      Reinforcement Learning

      您将获得的技能: Approximation, Artificial Neural Networks, Business Psychology, Computer Programming, Deep Learning, Entrepreneurship, Euler'S Totient Function, Leadership and Management, Machine Learning, Machine Learning Algorithms, Markov Model, Mathematics, Operations Research, Planning, Process, Python Programming, Reinforcement Learning, Research and Design, Statistical Programming, Strategy and Operations, Supply Chain and Logistics

      4.7

      (2.9k 条评论)

      Intermediate · Specialization · 3-6 Months

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      University of Alberta

      Prediction and Control with Function Approximation

      您将获得的技能: Business Psychology, Deep Learning, Artificial Neural Networks, Euler'S Totient Function, Reinforcement Learning, Entrepreneurship, Machine Learning Algorithms, Approximation, Machine Learning

      4.8

      (724 条评论)

      Intermediate · Course · 1-3 Months

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      Stanford University

      Probabilistic Graphical Models 2: Inference

      您将获得的技能: Computer Architecture, Distributed Computing Architecture, Probability & Statistics, Bayesian Network, Approximation, Machine Learning

      4.6

      (470 条评论)

      Advanced · Course · 1-3 Months

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      EIT Digital

      Approximation Algorithms

      您将获得的技能: Theoretical Computer Science, Approximation

      4.7

      (29 条评论)

      Intermediate · Course · 1-4 Weeks

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      免费

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      Erasmus University Rotterdam

      Earth Economics

      您将获得的技能: Economics, Business Psychology, Behavioral Economics, Economy

      4.6

      (48 条评论)

      Beginner · Course · 1-3 Months

    与 data quality 相关的搜索

    total data quality
    healthcare data quality and governance
    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
    1…13141516

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

    • DataViz - Grammaire des Graphiques avec Python: Coursera Project Network
    • Calculus through Data & Modeling: Applying Differentiation: Johns Hopkins University
    • Reinforcement Learning: University of Alberta
    • Prediction and Control with Function Approximation: University of Alberta
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • Approximation Algorithms: EIT Digital
    • Earth Economics: Erasmus University Rotterdam

    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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