Results for "graph+databases"
Status: Free TrialUniversity of Colorado Boulder
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
Status: NewSkills you'll gain: Retrieval-Augmented Generation, Database Management Systems, Python Programming, Analysis, Data Import/Export
Status: Free TrialSkills 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
Status: Free TrialSkills 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
Status: Free TrialSkills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing, Python Programming
Status: Free TrialBoard Infinity
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
What brings you to Coursera today?
Status: Free TrialSkills 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
Status: Free TrialDuke University
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
Status: NewStatus: Free TrialSkills you'll gain: Data Structures, Graph Theory, Algorithms, Computational Thinking
Status: Free TrialSkills 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
Status: NewStatus: Free TrialSkills 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
Status: NewStatus: Free TrialSkills 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
In summary, here are 10 of our most popular graph+databases courses
- Databases for Data Scientists:Â University of Colorado Boulder
- Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG:Â Packt
- NoSQL, Big Data, and Spark Foundations:Â IBM
- Mastering Azure Databricks for Data Engineers:Â Packt
- Databases and SQL for Data Science with Python:Â IBM
- GraphQL Mastery: From Fundamentals to Production:Â Board Infinity
- Introduction to Relational Databases (RDBMS):Â IBM
- Python, Bash and SQL Essentials for Data Engineering:Â Duke University
- Intermediate Algorithms: Graphs, Trees, and Backtracking:Â Packt
- SQL for Data Science with R:Â IBM
