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온라인 학위경력 찾기기업용 Coursera대학교용
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    • Database

    필터링 기준

    "database"에 대한 994개의 결과

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      University of Colorado Boulder

      Databases for Data Scientists

      획득할 기술: Communication, Computer Graphic Techniques, Computer Graphics, Computer Vision, Data Architecture, Data Management, Data Model, Data Structures, Database Administration, Database Application, Database Design, Database Theory, Databases, Machine Learning, Marketing, Modeling, NoSQL, PostgreSQL, SQL, Software Architecture, Software Engineering, Statistical Programming, Theoretical Computer Science

      4.7

      (177개의 검토)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Data Engineering Foundations

      획득할 기술: Apache, Big Data, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Data Architecture, Data Engineering, Data Management, Data Model, Data Warehousing, Database Administration, Database Application, Database Design, Databases, Distributed Computing Architecture, Extract, Transform, Load, Leadership and Management, Mathematical Theory & Analysis, Mathematics, Network Security, NoSQL, PostgreSQL, Professional Development, Project Management, Python Programming, SQL, Security Engineering, Security Strategy, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.6

      (35.3k개의 검토)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Engineering

      획득할 기술: Algorithms, Apache, Big Data, Business Analysis, Cloud Computing, Cloud Engineering, Computational Logic, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Data Architecture, Data Engineering, Data Management, Data Model, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Database Design, Database Theory, Databases, DevOps, Distributed Computing Architecture, Extract, Transform, Load, Graph Theory, Hardware Design, IBM Cloud, Kubernetes, Leadership and Management, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Network Architecture, Network Security, NoSQL, PostgreSQL, Professional Development, Programming Principles, Project Management, Python Programming, SQL, Security Engineering, Security Strategy, Software Architecture, Software Engineering, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.6

      (35.8k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      University of Michigan

      PostgreSQL for Everybody

      획득할 기술: Cloud Applications, Cloud Computing, Computational Logic, Computer Programming, Data Management, Data Structures, Database Design, Databases, Javascript, Machine Learning, Mathematical Theory & Analysis, Mathematics, Modeling, Natural Language Processing, NoSQL, PostgreSQL, Programming Principles, Python Programming, SQL, Software Architecture, Software Engineering, Statistical Programming, Theoretical Computer Science, Web Development

      4.7

      (626개의 검토)

      Intermediate · Specialization · 3-6 Months

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      University of California, Davis

      Learn SQL Basics for Data Science

      획득할 기술: Analysis, Apache, Apache Spark, Basic Descriptive Statistics, Big Data, Computer Programming, Data Management, Databases, General Statistics, Leadership and Management, Machine Learning, Probability & Statistics, Python Programming, SQL, Statistical Programming

      4.6

      (13.7k개의 검토)

      Beginner · Specialization · 3-6 Months

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      University of Colorado Boulder

      Relational Database Design

      획득할 기술: Database Administration, Database Theory, Data Architecture, Software Engineering, Database Application, Theoretical Computer Science, Software Architecture, Computer Vision, Database Design, Computer Graphics, Data Management, Databases, Data Model, Computer Graphic Techniques, SQL, Data Structures, Statistical Programming, Machine Learning

      4.8

      (24개의 검토)

      Beginner · Course · 1-4 Weeks

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      LearnQuest

      Oracle SQL Databases

      획득할 기술: Data Management, Database Administration, Database Application, Database Design, Databases, Entrepreneurship, Java Annotation, Market Research, Research and Design, SQL, Statistical Programming

      4.6

      (302개의 검토)

      Beginner · Specialization · 3-6 Months

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      Coursera Project Network

      Introduction to Relational Database and SQL

      획득할 기술: Mysql, Relational Database, Data Management, SQL, Databases, Statistical Programming

      4.6

      (1.6k개의 검토)

      Beginner · Guided Project · Less Than 2 Hours

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      University of Colorado System

      Data Warehousing for Business Intelligence

      획득할 기술: Accounting, Business Analysis, Business Intelligence, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis, Data Architecture, Data Management, Data Mining, Data Visualization, Data Warehousing, Database Administration, Database Application, Database Design, Database Theory, Databases, Decision Making, Entrepreneurship, Extract, Transform, Load, Leadership and Management, Linear Algebra, Mathematical Theory & Analysis, Mathematics, Modeling, PostgreSQL, Programming Principles, SQL, Spreadsheet Software, Statistical Programming, Theoretical Computer Science

      4.5

      (3.6k개의 검토)

      Advanced · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Warehouse Engineer

      획득할 기술: Apache, Big Data, Business Analysis, Cloud Computing, Cloud Engineering, Computer Architecture, Computer Networking, Computer Programming, Data Architecture, Data Engineering, Data Management, Data Model, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Database Design, Databases, DevOps, Distributed Computing Architecture, Extract, Transform, Load, Hardware Design, Leadership and Management, Microarchitecture, Network Security, NoSQL, PostgreSQL, Professional Development, Programming Principles, Project Management, Python Programming, SQL, Security Engineering, Security Strategy, Software Architecture, Software Engineering, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.6

      (17k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      Google

      Google Data Analytics

      획득할 기술: Algorithms, Application Development, Bias, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Type, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, General Statistics, Ggplot2, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Plot (Graphics), Presentation, Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software, Software Engineering, Software Security, Spreadsheet Software, Statistical Analysis, Statistical Programming, Storytelling, Strategy and Operations, Tableau Software, Theoretical Computer Science, Visual Design, Web Development

      4.8

      (70k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      University of California, Davis

      SQL for Data Science

      획득할 기술: Analysis, Databases, Data Management, Statistical Programming, SQL

      4.6

      (13k개의 검토)

      Beginner · Course · 1-4 Weeks

    database과(와) 관련된 검색

    databases and sql for data science with python
    databases
    database management
    database design
    database architecture, scale, and nosql with elasticsearch
    database management systems
    database and multi-cloud assessment with stratozone
    database management essentials
    1234…83

    요약하자면, 여기에 가장 인기 있는 database 강좌 10개가 있습니다.

    • Databases for Data Scientists: University of Colorado Boulder
    • Data Engineering Foundations: IBM Skills Network
    • IBM Data Engineering: IBM Skills Network
    • PostgreSQL for Everybody: University of Michigan
    • Learn SQL Basics for Data Science: University of California, Davis
    • Relational Database Design: University of Colorado Boulder
    • Oracle SQL Databases: LearnQuest
    • Introduction to Relational Database and SQL: Coursera Project Network
    • Data Warehousing for Business Intelligence: University of Colorado System
    • IBM Data Warehouse Engineer: IBM Skills Network

    데이터베이스에 대한 자주 묻는 질문

    • 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.‎

    • Having skills and experience in SQL is important before starting to learn database because, even though the language has been around since 1997, SQL is still among the most popular languages in database work, many companies use it including big names like Google and Amazon, and a majority of job positions in database require SQL. Learning other languages is also helpful, including Python, C, and Java. If you don't already have your high school diploma or GED, you should be working toward it as you start learning database, especially if your goal is to be a database administrator. Expect to earn a college degree, preferably in computer science, if you want a future management position in database.‎

    • The kinds of people who are best suited for roles in database include analytical thinkers because analyzing large amounts of data is an integral part of the field. Being skilled at recognizing patterns in unstructured data is another key trait, as well as being flexible and open to change since technology is a rapidly changing field. People who are good at problem-solving and have good organizational skills are also well suited for roles in database. And those who have good communication skills and can explain complex information in clear, understandable ways are likely to be successful in database roles.‎

    • Learning database may be right for you if you enjoy working with numbers, data, statistics, and computers. If you're preparing for a career in information technology or computer science, learning database is most likely right for you. Learning database can prepare you to either create databases, manage databases, troubleshoot problems in databases, or analyze databases for various roles with the database field. If any of these sound interesting to you, learning database is right for you.‎

    이 FAQ 콘텐츠는 정보 전달 목적만으로 사용할 수 있습니다. 학습자는 과정 및 기타 학점 정보가 개인적, 직업적 및 재정적 목표에 부합하는지 확인하기 위해 추가 조사를 수행하는 것이 좋습니다.
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