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    • Nosql

    NoSQL Courses Online

    Learn NoSQL databases for managing unstructured data. Understand how to design, query, and optimize NoSQL databases like MongoDB and Cassandra.

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    Explore the NoSQL Course Catalog

    • I

      IBM

      Introduction to NoSQL Databases

      Skills you'll gain: NoSQL, MongoDB, Databases, Apache Cassandra, Distributed Computing, Database Management, Database Architecture and Administration, IBM Cloud, Query Languages, Data Modeling, JSON, Scalability, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      346 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      NoSQL, Big Data, and Spark Foundations

      Skills you'll gain: NoSQL, Apache Hadoop, Apache Spark, MongoDB, PySpark, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Generative AI, IBM Cloud, Applied Machine Learning, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management, Data Pipelines, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      754 reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      MongoDB Inc.

      Introduction to MongoDB

      Skills you'll gain: MongoDB, Database Management, Databases, NoSQL, Data Modeling, Query Languages, Data Integrity, Performance Tuning, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      89 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Databases and SQL for Data Science with Python

      Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Databases for Data Scientists

      Skills you'll gain: Database Design, SQL, Database Management Systems, NoSQL, Data Warehousing, Relational Databases, Database Administration, Databases, Database Architecture and Administration, Database Management, Database Systems, Database Theory, Data Modeling, Query Languages, MongoDB, Big Data, Data Architecture, Data Integrity, Data Access, Data Analysis

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      SQL: A Practical Introduction for Querying Databases

      Skills you'll gain: SQL, Stored Procedure, Relational Databases, MySQL, Microsoft SQL Servers, Query Languages, Database Management, Databases, Cloud Management, IBM DB2, Data Manipulation, Data Analysis, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      582 reviews

      Beginner · Course · 1 - 3 Months

    What brings you to Coursera today?

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Full Stack Software Developer

      Skills you'll gain: Istio, Node.JS, Software Development Life Cycle, Kubernetes, Unit Testing, Object-Relational Mapping, Cloud Computing Architecture, Server Side, Application Deployment, React Redux, Cloud Services, Cloud-Native Computing, OpenShift, Git (Version Control System), Full-Stack Web Development, HTML and CSS, Cloud Computing, Jupyter, Large Language Modeling, Interviewing Skills

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      55K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Michigan

      Database Architecture, Scale, and NoSQL with Elasticsearch

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

      4.3
      Rating, 4.3 out of 5 stars
      ·
      136 reviews

      Intermediate · Course · 1 - 4 Weeks

    • E

      EDUCBA

      MongoDB: The Complete Guide to NoSQL Database Development

      Skills you'll gain: MongoDB, Restful API, API Design, NoSQL, Database Development, Node.JS, Query Languages, Database Management, Distributed Computing, Database Design, Database Architecture and Administration, Performance Tuning, Data Architecture, Scalability, Data Modeling, Data Validation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      45 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Washington

      Data Science at Scale

      Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Data Science, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Governance, Data Analysis, Predictive Modeling, Data Processing, Data Wrangling

      4.2
      Rating, 4.2 out of 5 stars
      ·
      915 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      Universidad Nacional Autónoma de México

      NoSQL systems

      Skills you'll gain: NoSQL, Database Systems, MongoDB, Data Store, Databases, Database Design, Relational Databases, Query Languages, Apache Cassandra, Scalability, Graph Theory, Unstructured Data, Maintainability

      4.3
      Rating, 4.3 out of 5 stars
      ·
      164 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      PostgreSQL for Everybody

      Skills you'll gain: Stored Procedure, Database Design, SQL, Relational Databases, NoSQL, PostgreSQL, Database Architecture and Administration, Database Theory, Database Management Systems, Data Modeling, JSON, Scalability, Database Management, Query Languages, Cloud Applications, Data Manipulation, Text Mining, Databases, Data Integrity, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • Introduction to NoSQL Databases: IBM
    • NoSQL, Big Data, and Spark Foundations: IBM
    • Introduction to MongoDB: MongoDB Inc.
    • Databases and SQL for Data Science with Python: IBM
    • Databases for Data Scientists: University of Colorado Boulder
    • SQL: A Practical Introduction for Querying Databases: IBM
    • IBM Full Stack Software Developer: IBM
    • Database Architecture, Scale, and NoSQL with Elasticsearch: University of Michigan
    • MongoDB: The Complete Guide to NoSQL Database Development: EDUCBA
    • Data Science at Scale: University of Washington

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Nosql

    NoSQL is a database format that allows you to store and retrieve data that doesn't fit into neater, more traditional databases. Traditional databases organize data into columns and rows and rely on specific formats to keep certain types of data together. NoSQL databases are less reliant on an organizational structure, so they allow applications that rely on large amounts of data to handle them in a more flexible way. NoSQL databases are ideal for fast-moving applications like games and social media that need to process data quickly and with flexibility.‎

    NoSQL is a more flexible type of database, so you're able to be lighter on your feet with the data. You can change the schema of the database as you go, whereas other databases require you to make wholesale changes to the structure if one data point requires it. Because NoSQL databases are distributed across multiple sources, they're far less prone to failure than other databases can be. One of the best advantages of learning NoSQL is that you're able to work with larger amounts of data with multiple options and variables.‎

    NoSQL databases are increasingly in demand for several sectors of the 21st-century economy. As a larger number of applications rely on NoSQL technology, you'll discover more and more job opportunities arising. Data analyst careers in retail, information technology, gaming, social networking, and healthcare call for NoSQL knowledge, and you'll find jobs in the government and nonprofit sectors where NoSQL skills are in demand. Whether you're looking to further your current career in data analysis or you're searching for new job opportunities, you'll demonstrate more value to employers if you know NoSQL.‎

    Whether you're being introduced to NoSQL for the first time or you're interested in gaining a deeper knowledge of this database format, you can gain confident knowledge from online courses on Coursera. Leading institutions like the University of California and Georgia Tech along with cutting-edge corporations like Google and Amazon present educational content that's thorough and practical. You can learn how NoSQL fits within specific applications like Firebase and MongoDB, and you'll be able to apply your newfound knowledge to help take your career to new heights.‎

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

    When looking to enhance your workforce's skills in NoSQL, 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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