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    Database Courses Online

    Understand database principles for storing and retrieving data. Learn about database design, SQL, and database management systems.

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    Explore the Database Course Catalog

    • University of Michigan

      Database Architecture, Scale, and NoSQL with Elasticsearch

      Skills you'll gain: NoSQL, PostgreSQL, Database Architecture and Administration, Database Systems, Scalability, Databases, Database Design, Relational Databases, SQL, Distributed Computing, Cloud Applications, JSON, Data Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      135 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Google

      Tools of the Trade: Linux and SQL

      Skills you'll gain: Bash (Scripting Language), Operating Systems, File Systems, Linux Commands, Linux, SQL, Unix Commands, Unix Shell, Unix, Computer Systems, Database Management, Command-Line Interface, Relational Databases, Authorization (Computing), Authentications, User Accounts

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • IBM

      Django Application Development with SQL and Databases

      Skills you'll gain: Object-Relational Mapping, Django (Web Framework), Bootstrap (Front-End Framework), SQL, Relational Databases, Cloud Applications, Database Management, Back-End Web Development, Databases, Database Design, Full-Stack Web Development, Application Deployment, Authentications, Model View Controller, Object Oriented Programming (OOP), Authorization (Computing), Application Development

      4.5
      Rating, 4.5 out of 5 stars
      ·
      319 reviews

      Intermediate · Course · 1 - 3 Months

    • IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Automation, Data Science, GitHub, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New

      Packt

      Foundations of Oracle Database Administration

      Skills you'll gain: Oracle Databases, Database Administration, Relational Databases, Database Management Systems, Database Architecture and Administration, Database Systems, Database Management, Multi-Tenant Cloud Environments, Software Installation, System Configuration, SQL, Virtual Machines

      Intermediate · Course · 1 - 3 Months

    • University of California, Irvine

      The Nature of Data and Relational Database Design

      Skills you'll gain: Decision Support Systems, Database Design, Relational Databases, Database Management, Database Systems, SQL, Descriptive Statistics, Statistics, Business Intelligence, Data Analysis, Microsoft Excel, Extract, Transform, Load, Business Analytics, Data Manipulation, Data Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      101 reviews

      Beginner · Course · 1 - 4 Weeks

    • Meta

      Database Engineer Capstone

      Skills you'll gain: Stored Procedure, Database Design, Git (Version Control System), MySQL, Databases, Database Application, Database Management, Data Visualization Software, Version Control, SQL, Tableau Software, Data Modeling, Transaction Processing, Python Programming

      3.9
      Rating, 3.9 out of 5 stars
      ·
      63 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Advanced Topics and Future Trends in Database Technologies

      Skills you'll gain: NoSQL, Database Management Systems, Data Warehousing, Database Architecture and Administration, Relational Databases, MongoDB, Big Data, Apache Cassandra, Data Processing, Data Integrity, Transaction Processing, Data Security, Scalability

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Coursera Project Network

      Getting Started with Microsoft Excel

      Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Entry, Microsoft 365

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12K reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New

      Microsoft

      Database Integration and Management

      Skills you'll gain: Database Management, SQL, Relational Databases, Database Systems, Databases, Database Development, Database Design, Data Store, Query Languages, Database Application, Object-Relational Mapping, Data Modeling, Data Management, Performance Tuning, Transaction Processing, Data Security

      Beginner · Course · 1 - 4 Weeks

    • IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, Cloud Computing, Data Analysis, Data Processing

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      98K reviews

      Beginner · Specialization · 3 - 6 Months

    • LearnQuest

      Java Database Connectivity (JDBC) Introduction

      Skills you'll gain: Data Access, Relational Databases, Object Oriented Programming (OOP), Data Integrity, SQL, Java, Databases

      4.6
      Rating, 4.6 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 4 Weeks

    Database learners also search

    Database Projects
    Relational Database
    Analytics
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    Business Intelligence Projects
    Digital Analytics
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    1…8910…92

    In summary, here are 10 of our most popular database courses

    • Database Architecture, Scale, and NoSQL with Elasticsearch: University of Michigan
    • Tools of the Trade: Linux and SQL: Google
    • Django Application Development with SQL and Databases: IBM
    • Data Science Fundamentals with Python and SQL: IBM
    • Foundations of Oracle Database Administration: Packt
    • The Nature of Data and Relational Database Design: University of California, Irvine
    • Database Engineer Capstone: Meta
    • Advanced Topics and Future Trends in Database Technologies: University of Colorado Boulder
    • Getting Started with Microsoft Excel: Coursera Project Network
    • Database Integration and Management: Microsoft

    Frequently Asked Questions about Database

    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.‎

    Online Database courses offer a convenient and flexible way to enhance your knowledge or learn new Database skills. Choose from a wide range of Database courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Database, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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