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Database 课程

“database”共返回 799 条结果

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    Database systems
    Universidad Nacional Autónoma de México
    专项课程
    评分为 4.2(满分 5 星)。323 条评论
    4.2(323)
    24k 名学生
    Intermediate LevelIntermediate
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    Data Warehousing for Business Intelligence
    University of Colorado System
    专项课程
    评分为 4.5(满分 5 星)。3072 条评论
    4.5(3,072)
    180k 名学生
    Advanced LevelAdvanced
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    Learn SQL Basics for Data Science
    University of California, Davis
    专项课程
    评分为 4.6(满分 5 星)。8840 条评论
    4.6(8,840)
    290k 名学生
    Beginner LevelBeginner
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    IBM Data Science
    IBM
    PROFESSIONAL CERTIFICATE
    评分为 4.6(满分 5 星)。68385 条评论
    4.6(68,385)
    730k 名学生
    Beginner LevelBeginner
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    Databases and SQL for Data Science
    IBM
    课程
    评分为 4.7(满分 5 星)。12613 条评论
    4.7(12,613)
    170k 名学生
    Beginner LevelBeginner
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    AWS Fundamentals
    Amazon Web Services
    专项课程
    评分为 4.7(满分 5 星)。13894 条评论
    4.7(13,894)
    260k 名学生
    Beginner LevelBeginner
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    Database Management Essentials
    University of Colorado System
    课程
    评分为 4.6(满分 5 星)。2577 条评论
    4.6(2,577)
    140k 名学生
    Intermediate LevelIntermediate
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    Data Science Fundamentals with Python and SQL
    IBM
    专项课程
    评分为 4.6(满分 5 星)。34264 条评论
    4.6(34,264)
    390k 名学生
    Beginner LevelBeginner
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    Introduction to Structured Query Language (SQL)
    University of Michigan
    课程
    评分为 4.8(满分 5 星)。3606 条评论
    4.8(3,606)
    100k 名学生
    Intermediate LevelIntermediate
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    Web Applications for Everybody
    University of Michigan
    专项课程
    评分为 4.7(满分 5 星)。6237 条评论
    4.7(6,237)
    220k 名学生
    Intermediate LevelIntermediate
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    IBM Data Analyst
    IBM
    PROFESSIONAL CERTIFICATE
    评分为 4.6(满分 5 星)。31615 条评论
    4.6(31,615)
    420k 名学生
    Beginner LevelBeginner
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    Introduction to Relational Database and SQL
    Coursera Project Network

    新

    指导项目
    评分为 4.5(满分 5 星)。1381 条评论
    4.5(1,381)
    23k 名学生
    Beginner LevelBeginner
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    Базы данных (Databases)
    Saint Petersburg State University
    课程
    评分为 4.1(满分 5 星)。199 条评论
    4.1(199)
    19k 名学生
    Mixed LevelMixed
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    Excel Skills for Business
    Macquarie University
    专项课程
    评分为 4.9(满分 5 星)。39399 条评论
    4.9(39,399)
    600k 名学生
    Beginner LevelBeginner
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    Excel to MySQL: Analytic Techniques for Business
    Duke University
    专项课程
    评分为 4.6(满分 5 星)。13423 条评论
    4.6(13,423)
    610k 名学生
    Beginner LevelBeginner
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    Parallel, Concurrent, and Distributed Programming in Java
    Rice University
    专项课程
    评分为 4.5(满分 5 星)。1271 条评论
    4.5(1,271)
    40k 名学生
    Intermediate LevelIntermediate
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    Modern Big Data Analysis with SQL
    Cloudera
    专项课程
    评分为 4.8(满分 5 星)。867 条评论
    4.8(867)
    39k 名学生
    Beginner LevelBeginner
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    Introduction to Data Science
    IBM
    专项课程
    评分为 4.6(满分 5 星)。52412 条评论
    4.6(52,412)
    470k 名学生
    Beginner LevelBeginner
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    Django for Everybody
    University of Michigan
    专项课程
    评分为 4.7(满分 5 星)。1044 条评论
    4.7(1,044)
    43k 名学生
    Intermediate LevelIntermediate
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    Intermediate Relational Database and SQL
    Coursera Project Network

    新

    指导项目
    评分为 4.4(满分 5 星)。389 条评论
    4.4(389)
    9.7k 名学生
    Intermediate LevelIntermediate

Searches related to database

databases and sql for data science

database management

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database design

database management essentials

database management systems

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1234…40Chevron Right

总之,这是我们最受欢迎的 database 门课程中的 10 门

  • Database systems: Universidad Nacional Autónoma de México
  • Data Warehousing for Business Intelligence: University of Colorado System
  • Learn SQL Basics for Data Science: University of California, Davis
  • IBM Data Science: IBM
  • Databases and SQL for Data Science: IBM
  • AWS Fundamentals: Amazon Web Services
  • Database Management Essentials: University of Colorado System
  • Data Science Fundamentals with Python and SQL: IBM
  • Introduction to Structured Query Language (SQL): University of Michigan
  • Web Applications for Everybody: University of Michigan

关于 Database 的常见问题

  • Databases are organized collections of data stored on, and accessible from, computer systems. In this era of big data, databases are especially important because of the vast amounts of information organizations need to sort and analyze. In the business world in particular, the ability to leverage data effectively to generate actionable insights is a major competitive advantage, making databases a critical resource.

    Once a database design is created, data can be stored in it and managed with the use of a relational database management system (DBMS) such as MySQL, Microsoft Access, or Oracle. For a quick exploration of a database, a data scientist can use a query language like SQL (Structured Query Language) to retrieve the data needed for the analysis, and then use a programming language like Python or R to process it and present the findings through data visualization.

    Long-term decision-making requires the ability to query multiple databases. Business intelligence software like Pentaho or Tableau have the needed extract, transform, load (ETL) capabilities to merge data from many different sources in a data warehousing process that can give executives greater insight into corporate performance over time.

  • The ability to work closely with data is increasingly essential for many jobs. Whether you are a sociologist querying databases on policing data for a research project or a chief operations officer trying to harness data analysis for process improvement initiatives, database skills can help you discover important insights.

    Database administrators (DBAs) work particularly closely with databases, and are responsible for ensuring that database management systems are operating efficiently, free from errors, and protected from security breaches. According to the Bureau of Labor Statistics, DBAs make a median salary of $83,750 per year, and their expected job growth is faster that the average for all occupations due to the increasing use of data in all sectors of the economy. And, with small and medium sized businesses increasingly using cloud services, DBAs are needed more and more for third party cloud databases.

  • Yes! Coursera offers courses and Specializations on database and data science, including topics in Python, cloud computing, and data warehousing. With these courses, you can learn remotely from top-ranked institutions and organizations including the University of Colorado Boulder, the University of Michigan, IBM, and AWS. The opportunity to complete coursework on a flexible schedule can allow you to add skills to your repertoire whether you are supplementing your current career or preparing for a new one. Coursera Projects also offers Guided Projects on databases and SQL, enabling you to learn with step-by-step tutorials from experienced instructors.

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