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Results for "database theory"
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 TrialSkills 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
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Database Design, Data Modeling, Database Management Systems, Metadata Management, Databases, Data Management, Relational Databases, Unified Modeling Language, Data Governance, Data Integrity, Data Quality, Object-Relational Mapping
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Data Warehousing, Extract, Transform, Load, Data Integration, Data Modeling, Data Architecture, Star Schema, Data Governance, Database Design, Data Mart, SQL, Relational Databases, Business Intelligence, Data Mining, Data Quality, Data Analysis
Status: Free TrialSkills you'll gain: Database Design, MySQL, IBM DB2, Relational Databases, Databases, Database Management Systems, PostgreSQL, Data Management, Database Architecture and Administration, SQL, Data Integrity, Data Modeling, Data Manipulation, Command-Line Interface
Status: Free TrialSkills you'll gain: MySQL, Database Design, Version Control, Database Management Systems, Database Management, MySQL Workbench, Extract, Transform, Load, Data Modeling, Data Structures, SQL, Unix Commands, Relational Databases, Databases, Git (Version Control System), Database Systems, GitHub, Stored Procedure, Object Oriented Programming (OOP), Database Administration, Database Development
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: MySQL, Database Management, Stored Procedure, Database Design, Database Systems, Relational Databases, SQL, Database Development, Database Administration, Query Languages, Data Management, Data Integrity, Data Validation
Status: NewStatus: Free TrialWhizlabs
Skills you'll gain: Google Cloud Platform, Dataflow, Data Migration, Data Architecture, Cloud Computing Architecture, Cloud Storage, Data Pipelines, Cloud Computing, NoSQL, Data Processing, Data Storage, Data Visualization, Databases, Scalability, Capacity Management
Status: Free TrialSkills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science
Status: NewStatus: Free TrialSkills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Analysis, Data Storage Technologies
Status: NewStatus: PreviewUniversitat Politècnica de València
Skills you'll gain: SQL, Data Integrity, Database Management, Relational Databases, Database Systems, Databases, Query Languages, Database Design, Web Applications, Application Security, Server Side, Data Manipulation
Status: NewStatus: Free TrialSkills you'll gain: Database Design, Relational Databases, Database Management, Database Development, Database Systems, SQL, Data Integrity, Data Modeling, Data Management, Data Structures
In summary, here are 10 of our most popular database theory courses
- Databases and SQL for Data Science with Python:Â IBM
- SQL: A Practical Introduction for Querying Databases:Â IBM
- Data Management for Analytics Part 1:Â Northeastern University
- Data Warehousing and Integration Part 1:Â Northeastern University
- Introduction to Relational Databases (RDBMS):Â IBM
- Meta Database Engineer:Â Meta
- Database Structures and Management with MySQL:Â Meta
- GCP: Database and Storage:Â Whizlabs
- Introduction to Data Engineering:Â IBM
- Data Science Fundamentals Part 1: Unit 3:Â Pearson
