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    1426 Ergebnisse für „database“

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      Meta

      Meta Database Engineer

      Kompetenzen, die Sie erwerben: Statistical Programming, Computer Programming, Data Management, Databases, Python Programming, SQL, Programming Principles, Software Engineering, Theoretical Computer Science, Database Administration, Database Application, Application Development, Computer Programming Tools, Software Architecture, Software Engineering Tools, Database Design, Database Theory, Software Testing, Data Analysis, Data Structures, Human Computer Interaction, Javascript, User Experience, Web Development, Applied Machine Learning, Business Analysis, Collaboration, Communication, Entrepreneurship, Exploratory Data Analysis, Leadership and Management, Linux, Machine Learning, Market Research, Operating Systems, Probability & Statistics, Research and Design, Accounting, Algorithms, Computer Science, Data Model, Data Warehousing, Django (Web Framework), Financial Analysis, Journalism, Mathematics, Operations Research, Other Programming Languages, Project Management, Strategy and Operations

      4.7

      (1.8k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      University of Colorado Boulder

      Databases for Data Scientists

      Kompetenzen, die Sie erwerben: Databases, Data Management, Statistical Programming, SQL, Database Design, Data Model, Theoretical Computer Science, Database Administration, Database Application, Database Theory, PostgreSQL, NoSQL, Marketing, Data Structures, Computer Graphic Techniques, Computer Graphics, Computer Vision, Data Architecture, Leadership and Management, Machine Learning, Software Architecture, Software Engineering, Big Data, Communication, Data Science, Data Warehousing

      4.7

      (393 Bewertungen)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Engineering

      Kompetenzen, die Sie erwerben: Data Management, Databases, SQL, Data Architecture, Big Data, Data Structures, Database Administration, Statistical Programming, Database Theory, Apache, Extract, Transform, Load, Python Programming, Data Warehousing, Database Application, Data Model, Data Analysis, NoSQL, Data Engineering, Distributed Computing Architecture, Computer Architecture, Database Design, Operating Systems, System Programming, System Software, Programming Principles, PostgreSQL, Algebra, Business Analysis, Machine Learning, Computer Programming, Applied Machine Learning, Correlation And Dependence, Feature Engineering, General Statistics, Graph Theory, Machine Learning Algorithms, Machine Learning Software, Regression, Statistical Analysis, Statistical Machine Learning, Data Visualization, Data Visualization Software, Cloud Computing, DevOps, Leadership and Management, Cloud Engineering, Interactive Data Visualization, Basic Descriptive Statistics, Exploratory Data Analysis, Cloud Applications, Data Science, Hardware Design, Kubernetes, Network Architecture, Network Security, Other Programming Languages, Professional Development, Security Engineering, Accounting, Algorithms, Computational Logic, Computational Thinking, Computer Networking, Computer Programming Tools, IBM Cloud, Linux, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Project Management, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science

      4.6

      (40.4k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      University of Michigan

      PostgreSQL for Everybody

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

      4.7

      (824 Bewertungen)

      Intermediate · Specialization · 3-6 Months

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      Meta

      Introduction to Databases

      Kompetenzen, die Sie erwerben: Data Management, Databases, SQL, Statistical Programming, Database Administration, Database Design, Database Theory, Theoretical Computer Science, Applied Machine Learning, Database Application, Machine Learning, Leadership and Management, Other Programming Languages

      4.7

      (332 Bewertungen)

      Beginner · Course · 1-3 Months

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      IBM Skills Network

      Data Engineering Foundations

      Kompetenzen, die Sie erwerben: Data Structures, Data Management, Databases, SQL, Python Programming, Database Theory, Data Engineering, Data Analysis, Data Model, Database Application, Programming Principles, Extract, Transform, Load, Data Architecture, Database Administration, Algebra, Database Design, PostgreSQL, Statistical Programming, Basic Descriptive Statistics, Exploratory Data Analysis, Apache, Big Data, Data Science, Data Warehousing, Leadership and Management, Network Security, Professional Development, Security Engineering, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Distributed Computing Architecture, Mathematical Theory & Analysis, Mathematics, NoSQL, Project Management, Security Strategy, Strategy and Operations, Theoretical Computer Science

      4.6

      (39.6k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Warehouse Engineer

      Kompetenzen, die Sie erwerben: Data Management, Databases, SQL, Database Administration, Data Warehousing, Database Theory, Data Engineering, Statistical Programming, Data Architecture, Database Application, Extract, Transform, Load, Data Model, Operating Systems, System Programming, System Software, Data Structures, Database Design, PostgreSQL, Business Analysis, Apache, Big Data, Leadership and Management, Cloud Computing, Cloud Engineering, Data Visualization, Data Visualization Software, Interactive Data Visualization, Computer Architecture, Computer Programming, Data Analysis, Data Science, DevOps, Hardware Design, Network Security, Professional Development, Security Engineering, Accounting, Computer Networking, Distributed Computing Architecture, Linux, Microarchitecture, NoSQL, Programming Principles, Project Management, Python Programming, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science

      4.6

      (19k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      Universidad Nacional Autónoma de México

      Database systems

      Kompetenzen, die Sie erwerben: Data Management, Databases, SQL, Data Model, Data Warehousing, Statistical Programming, Apache, Big Data, Business Analysis, Business Intelligence, Data Analysis, Data Analysis Software, Data Architecture, Database Design, Extract, Transform, Load, NoSQL, Accounting, Advertising, Communication, Data Mining, Marketing, Visual Design

      4.3

      (651 Bewertungen)

      Intermediate · Specialization · 3-6 Months

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      Google

      Google Data Analytics

      Kompetenzen, die Sie erwerben: Data Analysis, Statistical Programming, Data Science, Business Analysis, SQL, Spreadsheet Software, Data Visualization, Business, Data Management, Data Visualization Software, R Programming, Leadership and Management, Exploratory Data Analysis, Statistical Visualization, Change Management, Strategy and Operations, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Tableau Software, Big Data, Cloud Computing, Critical Thinking, Customer Analysis, General Statistics, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, 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, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development

      4.8

      (101k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      University of Colorado Boulder

      Relational Database Design

      Kompetenzen, die Sie erwerben: Database Design, Databases, Data Management, Theoretical Computer Science, Database Application, Database Theory, Database Administration, Data Model, Data Structures, SQL, Statistical Programming, Computer Graphic Techniques, Computer Graphics, Computer Vision, Data Architecture, Leadership and Management, Machine Learning, Software Architecture, Software Engineering

      4.7

      (71 Bewertungen)

      Beginner · Course · 1-4 Weeks

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      Coursera Project Network

      Introduction to Relational Database and SQL

      Kompetenzen, die Sie erwerben: Databases, SQL, Data Management, Data Science, Statistical Programming

      4.6

      (1.8k Bewertungen)

      Beginner · Guided Project · Less Than 2 Hours

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      IBM Skills Network

      IBM Data Analyst

      Kompetenzen, die Sie erwerben: Data Analysis, Python Programming, Data Visualization, Exploratory Data Analysis, Business Analysis, Basic Descriptive Statistics, Data Structures, Data Science, Statistical Programming, Spreadsheet Software, Data Management, General Statistics, Plot (Graphics), SQL, Statistical Visualization, Databases, Microsoft Excel, Data Mining, Statistical Analysis, Programming Principles, Probability & Statistics, Regression, Machine Learning, Algebra, Data Analysis Software, Data Visualization Software, Database Theory, Probability Distribution, Applied Machine Learning, Statistical Tests, Big Data, Correlation And Dependence, Database Application, Estimation, NoSQL, Geovisualization, ArcGIS, Cloud Computing, Computer Programming, Data Warehousing, Database Administration, Extract, Transform, Load, HTML and CSS, Knitr, Mathematics, Minitab, PostgreSQL, R Programming, SAS (Software), SPSS, Apache, Computational Logic, Computer Programming Tools, Econometrics, Leadership and Management, Mathematical Theory & Analysis, Operating Systems, Professional Development, Statistical Machine Learning, System Programming, Theoretical Computer Science

      4.6

      (60.6k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

    Suchanfragen mit Bezug zu database

    database management
    databases and sql for data science with python
    database design
    database systems
    database management essentials
    database structures and management with mysql
    databases for data scientists
    database design and basic sql in postgresql
    1234…84

    Zusammenfassend sind hier 10 unserer beliebtesten database Kurse

    • Meta Database Engineer: Meta
    • Databases for Data Scientists: University of Colorado Boulder
    • IBM Data Engineering: IBM Skills Network
    • PostgreSQL for Everybody: University of Michigan
    • Introduction to Databases: Meta
    • Data Engineering Foundations: IBM Skills Network
    • IBM Data Warehouse Engineer: IBM Skills Network
    • Database systems: Universidad Nacional Autónoma de México
    • Google Data Analytics: Google
    • Relational Database Design: University of Colorado Boulder

    Häufig gestellte Fragen zum Thema Datenbank

    • 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.‎

    Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.
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