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    Related topics:SQLsql 데이터베이스데이터베이스 관리데이터베이스PostgreSQLOracle

    필터링 기준

    "database"에 대한 965개의 결과

    • University of Colorado Boulder

      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

      4.8

      (132개의 검토)

      Beginner · Specialization

    • University of Michigan

      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, Relational Database, SQL, Software Architecture, Software Engineering, Statistical Programming, Theoretical Computer Science, Web Development

      4.7

      (604개의 검토)

      Intermediate · Specialization

    • IBM

      IBM

      Data Engineering Foundations

      획득할 기술: Apache, Big Data, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Data Architecture, Data Management, Data Model, Data Warehousing, Database Administration, Database Application, 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

      (34.5k개의 검토)

      Beginner · Specialization

    • IBM

      IBM

      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 Management, Data Model, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, 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

      (34.9k개의 검토)

      Beginner · Professional Certificate

    • Coursera Project Network

      Coursera Project Network

      Introduction to Relational Database and SQL

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

      4.6

      (1.6k개의 검토)

      Beginner · Guided Project

    • University of Colorado Boulder

      University of Colorado Boulder

      Relational Database Design

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

      4.9

      (15개의 검토)

      Beginner · Course

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      University of California, Davis

      University of California, Davis

      Learn SQL Basics for Data Science

      획득할 기술: Analysis, Apache, 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

      (13.5k개의 검토)

      Beginner · Specialization

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      University of Michigan

      University of Michigan

      Database Design and Basic SQL in PostgreSQL

      획득할 기술: Statistical Programming, Data Management, Database Design, SQL, PostgreSQL, Modeling, Relational Database, Databases

      4.8

      (482개의 검토)

      Intermediate · Course

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      University of Colorado System

      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

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      University of London

      University of London

      Bachelor of Science in Computer Science

      획득할 기술: Software Testing, Algorithms, Python Programming, Computer Program, Mathematics, Probability & Statistics, Operating Systems, Statistical Programming, Security Engineering, Web Design, Javascript, Theoretical Computer Science, General Statistics, Software Engineering, Computer Programming, Web Development, Databases, C Programming Language Family, Linear Algebra, System Security, Mathematical Theory & Analysis, Machine Learning, Programming Principles, Computer Architecture, Computer Graphics, Other Programming Languages, Calculus, Design and Product, Computational Thinking, Agile Software Development, User Experience, Microarchitecture

      학위 취득

      Degree

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      Universidad Nacional Autónoma de México

      Universidad Nacional Autónoma de México

      Database systems

      획득할 기술: Advertising, Business Analysis, Communication, Data Architecture, Data Management, Data Model, Data Warehousing, Databases, Marketing, NoSQL, SQL, Statistical Programming

      4.3

      (636개의 검토)

      Intermediate · Specialization

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      University of California, Irvine

      University of California, Irvine

      Database Design and Operational Business Intelligence

      획득할 기술: Basic Descriptive Statistics, Business Analysis, Business Intelligence, Communication, Data Analysis, Data Management, Data Mining, Data Model, Data Visualization, Data Warehousing, Database Design, Databases, Extract, Transform, Load, General Statistics, Machine Learning, Machine Learning Algorithms, Marketing, NoSQL, Probability & Statistics, SAS (Software), SQL, Statistical Analysis, Statistical Programming

      4.5

      (77개의 검토)

      Beginner · Specialization

    database과(와) 관련된 검색

    databases and sql for data science with python
    databases
    database management
    database architecture, scale, and nosql with elasticsearch
    database design with sql server management studio (ssms)
    database management essentials
    database design
    database management systems
    1234…81

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

    • Databases for Data Scientists: University of Colorado Boulder
    • PostgreSQL for Everybody: University of Michigan
    • Data Engineering Foundations: IBM
    • IBM Data Engineering: IBM
    • Introduction to Relational Database and SQL: Coursera Project Network
    • Relational Database Design: University of Colorado Boulder
    • Learn SQL Basics for Data Science: University of California, Davis
    • Database Design and Basic SQL in PostgreSQL: University of Michigan
    • Data Warehousing for Business Intelligence: University of Colorado System
    • Bachelor of Science in Computer Science: University of London

    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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