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  • Graph Database

Results for "graph database"


  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    GraphQL Mastery: From Fundamentals to Production

    Skills you'll gain: Frontend Integration, Application Programming Interface (API), Secure Coding, Cloud Deployment, JavaScript Frameworks, Frontend Performance, Database Development, Maintainability, Node.JS, Server Side, Authentications, Application Performance Management

    Beginner · Specialization · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Knowledge Graphs for RAG

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Embeddings, Query Languages, Vector Databases, Data Storage, Semantic Web, Unstructured Data, Graph Theory

    4.8
    Rating, 4.8 out of 5 stars
    ·
    98 reviews

    Intermediate · Project · Less Than 2 Hours

  • P

    Packt

    Essential Concepts of Vector Databases

    Skills you'll gain: Vector Databases, Large Language Modeling, LangChain, Embeddings, NoSQL, Database Systems, Databases, OpenAI API, Data Management, Development Environment, Unstructured Data, Real Time Data, Scalability, Data Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    B

    Birla Institute of Technology & Science, Pilani

    Graphs and Networks

    Skills you'll gain: Graph Theory, Network Analysis, Social Network Analysis, Combinatorics, Network Model, Mathematical Modeling, Data Structures, Transportation Operations, Image Analysis, Algorithms, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Computational Thinking, Problem Solving

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Graph Analytics for Big Data

    Skills you'll gain: Graph Theory, Database Design, Big Data, Network Analysis, Analytics, Data Management, Query Languages, Computing Platforms, Scalability, Unsupervised Learning, Distributed Computing, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    NoSQL systems

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

    4.3
    Rating, 4.3 out of 5 stars
    ·
    170 reviews

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Design & Optimize SQL Database Schemas

    Skills you'll gain: Database Design, Database Development, SQL, Database Architecture and Administration, Data Modeling, Database Management, Technical Documentation

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep: Google Cloud Professional Cloud Database Engineer

    Skills you'll gain: NoSQL, Operational Databases, Data Migration, Database Architecture and Administration, Relational Databases, Database Design, Database Management, PostgreSQL, SQL, Google Cloud Platform, Databases, Distributed Computing, MySQL, Data Access, Disaster Recovery, System Monitoring, Cloud Deployment, Data Architecture, Performance Tuning, Data Maintenance

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Engineering

    Skills you'll gain: Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Storage Technologies, Data Storage, Relational Databases, Data Integration, Apache Hadoop, Data Warehousing, Databases, Data Lakes, SQL, Data Governance, Apache Spark, Data Security, NoSQL, Data Transformation, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Databases for Data Scientists

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

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Introduction to Databases for Back-End Development

    Skills you'll gain: Relational Databases, Database Management Systems, SQL, Database Design, Databases, Database Administration, MySQL, NoSQL, Query Languages

    4.6
    Rating, 4.6 out of 5 stars
    ·
    676 reviews

    Beginner · Course · 1 - 3 Months

1234…156

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

  • GraphQL Mastery: From Fundamentals to Production: Board Infinity
  • Knowledge Graphs for RAG: DeepLearning.AI
  • Essential Concepts of Vector Databases: Packt
  • Graphs and Networks: Birla Institute of Technology & Science, Pilani
  • Graph Analytics for Big Data: University of California San Diego
  • NoSQL systems: Universidad Nacional Autónoma de México
  • Design & Optimize SQL Database Schemas: Coursera
  • Exam Prep: Google Cloud Professional Cloud Database Engineer: Whizlabs
  • Introduction to Data Engineering: IBM
  • Databases and SQL for Data Science with Python: IBM

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