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    • Data Modeling

    筛选依据

    ''data modeling'的 337 个结果

    • Big Data Modeling and Management Systems by University of California San Diego

      Big Data Modeling and Management Systems

      University of California San Diego
      课程
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      评分为 4.4(满分 5 星)。2922 条评论
      4.4(2,922)
      87k 名学生
      Mixed Level
      Mixed
    • Calculus through Data & Modeling: Precalculus Review by Johns Hopkins University

      Calculus through Data & Modeling: Precalculus Review

      Johns Hopkins University
      课程
      Filled StarFilled StarFilled StarFilled StarFilled Star
      评分为 4.8(满分 5 星)。46 条评论
      4.8(46)
      4.1k 名学生
      Beginner Level
      Beginner
    • Calculus through Data & Modeling: Limits & Derivatives by Johns Hopkins University

      Calculus through Data & Modeling: Limits & Derivatives

      Johns Hopkins University
      课程
      Filled StarFilled StarFilled StarFilled StarFilled Star
      评分为 4.8(满分 5 星)。136 条评论
      4.8(136)
      4.3k 名学生
      Beginner Level
      Beginner
    • Calculus through Data & Modeling: Differentiation Rules by Johns Hopkins University

      Calculus through Data & Modeling: Differentiation Rules

      Johns Hopkins University
      课程
      Filled StarFilled StarFilled StarFilled StarFilled Star
      评分为 4.8(满分 5 星)。19 条评论
      4.8(19)
      Intermediate Level
      Intermediate
    • Calculus through Data & Modeling: Applying Differentiation by Johns Hopkins University

      Calculus through Data & Modeling: Applying Differentiation

      Johns Hopkins University
      课程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.6(满分 5 星)。19 条评论
      4.6(19)
      Intermediate Level
      Intermediate
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      Data Modeling and Regression Analysis in Business

      University of Illinois at Urbana-Champaign
      课程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.3(满分 5 星)。52 条评论
      4.3(52)
      6.9k 名学生
      Intermediate Level
      Intermediate
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      Advanced Data Modeling

      Meta
      课程
      Beginner Level
      Beginner
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      Master of Science in Applied Data Analytics

      Queen Mary, University of London
      学位
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      Master of Science in Data Science

      University of Colorado Boulder
      学位

      An interdisciplinary, applied data science master’s degree with no application. Pass a series of placement tests and get started right away.

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      M.Sc. Data Science

      IIIT Bangalore
      学位
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      Graduate Certificate in Accounting Data Analytics

      University of Illinois
      研究生证书
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      Data Science Graduate Certificate

      University of Colorado Boulder
      研究生证书

      Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions.

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      Business Statistics and Analysis

      Rice University
      专项课程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.7(满分 5 星)。11025 条评论
      4.7(11,025)
      250k 名学生
      Beginner Level
      Beginner
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      Business Analytics

      University of Illinois at Urbana-Champaign
      专项课程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.6(满分 5 星)。706 条评论
      4.6(706)
      59k 名学生
      Beginner Level
      Beginner
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      Data Warehousing for Business Intelligence

      University of Colorado System
      专项课程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      评分为 4.5(满分 5 星)。3579 条评论
      4.5(3,579)
      220k 名学生
      Advanced Level
      Advanced
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      Database Design and Basic SQL in PostgreSQL

      University of Michigan
      课程
      Filled StarFilled StarFilled StarFilled StarFilled Star
      评分为 4.8(满分 5 星)。446 条评论
      4.8(446)
      15k 名学生
      Intermediate Level
      Intermediate
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      Data Mining Foundations and Practice

      University of Colorado Boulder
      专项课程
      Filled StarFilled StarHalf Filled StarStarStar
      评分为 2.7(满分 5 星)。6 条评论
      2.7(6)
      2.8k 名学生
      Intermediate Level
      Intermediate
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      Geographical Information Systems - Part 2

      École Polytechnique Fédérale de Lausanne
      课程
      Beginner Level
      Beginner
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      Salesforce Integration

      University of California, Irvine
      课程
      Filled StarFilled StarFilled StarFilled StarStar
      评分为 4(满分 5 星)。10 条评论
      4(10)
      1.6k 名学生
      Beginner Level
      Beginner
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      Data Warehousing and Business Intelligence

      University of California, Irvine
      课程
      Filled StarFilled StarFilled StarFilled StarFilled Star
      评分为 4.8(满分 5 星)。30 条评论
      4.8(30)
      Beginner Level
      Beginner

    与 data modeling 相关的搜索

    data modeling and regression analysis in business
    big data modeling and management systems
    advanced data modeling
    calculus through data & modeling: limits & derivatives
    calculus through data & modeling: precalculus review
    calculus through data & modeling: differentiation rules
    calculus through data & modeling: applying differentiation
    modeling data in the tidyverse
    1234…17

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

    • Big Data Modeling and Management Systems: University of California San Diego
    • Calculus through Data & Modeling: Precalculus Review: Johns Hopkins University
    • Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
    • Calculus through Data & Modeling: Differentiation Rules: Johns Hopkins University
    • Calculus through Data & Modeling: Applying Differentiation: Johns Hopkins University
    • Data Modeling and Regression Analysis in Business: University of Illinois at Urbana-Champaign
    • Advanced Data Modeling: Meta
    • Master of Science in Applied Data Analytics: Queen Mary, University of London
    • Master of Science in Data Science: University of Colorado Boulder
    • M.Sc. Data Science: IIIT Bangalore

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    强化学习 (13)
    代数 (10)
    贝叶斯定理 (10)
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    关于 数据建模 的常见问题

    • Data modeling is an essential prerequisite to proper database design, as it clearly establishes the structures, relationships, and flows of data through an organization. This diagramming is important because it ensures the integrity of a company’s data and its interrelationships in the database management system (DBMS) so that it can be relied on for accurate analysis.

      Data modeling has become more challenging in the big data era, as vast flows of unstructured, real-time data are not easily classified. However, there are also new tools available for data management professionals. Neo4j, one type of NoSQL database, can help with data modeling by filtering large datasets with graph analytics. And, with Apache Impala’s ability to analyze big data in the cloud, data modelers can create flexible system protocols that can evolve with data growth.‎

    • Data modeling is a complex process that demands the ability to precisely understand and diagram business operations, data flows, and data management systems. Database administrators especially rely on data modeling to design and manage an organization’s databases to ensure security, integrity, and freedom from error.

      Data engineers also use data modeling skills to efficiently design and build an organization’s data infrastructure. They are responsible for creating the data pipelines, data warehouses, and data lakes used for business operations, exploratory data analysis, and predictive business intelligence. According to Glassdoor, the national average salary for a data engineer in the United States is $102,864 per year.‎

    • Yes! Coursera offers a wide variety of online courses and Specializations in data modeling, as well as related topics like data warehousing, business intelligence, and big data. You can take courses from top-ranked institutions like the University of California San Diego and the University of Illinois at Urbana-Champaign, so you don’t have to sacrifice the quality of your education for the opportunity to learn online.

      Coursera also offers the opportunity to pursue a full Master of Science in Data Science degree from the University of Colorado Boulder. Whether you’re a data science beginner or adding new skills to your resume, data modeling will give you an essential perspective into the structure of an organization’s data operations.‎

    • Previous experience or education—at the high school or postsecondary levels—in information science, applied mathematics, or computer science and related topics can help you form the foundation needed to learn about data modeling. A background in business management and information systems management may also be beneficial. Naturally, you'll need good basic computer skills, as well as some experience in areas like database administration, computer architecture, data representation, and digital logic. An understanding of modeling tools—like PowerDesigner, Erwin, and Enterprise Architect—can also prepare you to learn data modeling. Experience with database management systems is also a must. Software development experience can be helpful too.‎

    • While technical skills are important for work that involves data modeling, you must also be a good communicator and teacher. In many cases, you'll have to explain your job to those who may not fully understand it. This means you'll need good written and verbal communication skills. It also means you'll need good interpersonal skills and the ability to work well with a team. You should also have a business-minded personality. The ideas and standards you implement will be based on the needs of the business where you work. You must be someone who can learn, change, and adapt quickly as you'll find that the job calls for that on many occasions.‎

    • Anyone with a background and passion for math, data, and computers may find that learning data modeling is right for them, especially if you dream of working in the business world and helping companies reach their full potential. Your technical knowhow and communication skills must be equally as sharp if you want a career in the field. However, choosing a career in this field means plenty of job opportunities, a competitive salary, and a great outlook for the future. You must be willing to build on your education and experience to work your way up from a career such as a data analyst if you choose this path.‎

    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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