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  • Graph Databases

Results for "graph+databases"


  • Status: Free Trial
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    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, Data Architecture, Database Application, Data Integrity, Data Access, Data Science

    Build toward a degree

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

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG

    Skills you'll gain: Retrieval-Augmented Generation, Database Management Systems, Python Programming, Analysis, Data Import/Export

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Storage and Management for Big Data

    Skills you'll gain: Data Pipelines, Databases, Extract, Transform, Load, Data Lakes, NoSQL, SQL Server Integration Services (SSIS), Data Processing, Data Architecture, Azure Synapse Analytics, Data Warehousing, Data Management, Microsoft Azure, Data Transformation, Database Management Systems, Data Infrastructure, Data Integration, Data Governance, Data Storage Technologies, Data Storage, Real Time Data

    Intermediate · Course · 1 - 3 Months

  • 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
    P

    Packt

    Mastering Azure Databricks for Data Engineers

    Skills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Real Time Data, Data Integration, PySpark, Data Pipelines, Data Management, Automation, Data Storage, Jupyter, File Systems, Development Testing, Data Processing, Data Quality

    4.3
    Rating, 4.3 out of 5 stars
    ·
    41 reviews

    Intermediate · Specialization · 1 - 3 Months

  • 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

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    826 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Relational Databases (RDBMS)

    Skills you'll gain: Database Design, IBM DB2, Relational Databases, Databases, MySQL, Database Architecture and Administration, PostgreSQL, Database Management Systems, Data Management, SQL, Data Modeling, Data Manipulation, Data Import/Export, Data Integrity, Data Security, Command-Line Interface

    4.6
    Rating, 4.6 out of 5 stars
    ·
    772 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python, Bash and SQL Essentials for Data Engineering

    Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    465 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    SQL for Data Science with R

    Skills you'll gain: Database Design, Relational Databases, SQL, Databases, R Programming, Database Management, Data Science, Data Modeling, Query Languages, Data Access, Data Manipulation, Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    184 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Warehousing & Pipeline Development in Microsoft Fabric

    Skills you'll gain: Star Schema, Snowflake Schema, Data Warehousing, CI/CD, Database Design, Transact-SQL, Data Pipelines, Extract, Transform, Load, Data Architecture, Data Modeling, Data Transformation, Data Integration, Microsoft Azure, Dataflow, Git (Version Control System), Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    SQL: A Practical Introduction for Querying Databases

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    687 reviews

    Beginner · Course · 1 - 3 Months

1234…9

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

  • Databases for Data Scientists: University of Colorado Boulder
  • Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG: Packt
  • Data Storage and Management for Big Data: Microsoft
  • Databases and SQL for Data Science with Python: IBM
  • Mastering Azure Databricks for Data Engineers: Packt
  • GraphQL Mastery: From Fundamentals to Production: Board Infinity
  • NoSQL, Big Data, and Spark Foundations: IBM
  • Introduction to Relational Databases (RDBMS): IBM
  • Python, Bash and SQL Essentials for Data Engineering: Duke University
  • SQL for Data Science with R: IBM

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