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Even if you are the only one registered, the session will still take place (except in cases of force majeure). A preliminary interview is held between the participant and/or a company representative in order to fully assess the participant’s profile (level, needs, professional context, challenges, etc.).
Assessment : during the training course, the trainer assesses the participants’ progress through multiple-choice questions, role-playing exercises and practical work. Participants receive a certificate of completion at the end of the training course.
This training course is part of our Database Training Courses. Discover our other database and BI courses to model, exploit and add value to your business data.
By the end, each participant will be able to :
Perfect for technical and non-technical profiles wishing to manipulate databases (PostgreSQL, MySQL, Oracle, SQL Server, etc.).
SQL (Structured Query Language) is the standard language for managing and querying relational databases — Oracle, SQL Server, PostgreSQL, MySQL, MariaDB, SQLite, and most cloud database services. It covers data retrieval (SELECT), modification (INSERT, UPDATE, DELETE), schema definition (CREATE, ALTER), and access control (GRANT, REVOKE). It remains a foundational skill for developers, analysts, and data engineers. MFE-IT trains professionals on SQL through hands-on labs on real datasets.
SQL is one of the easier languages to start with — basic SELECT queries are accessible within hours. Mastery (joins, subqueries, window functions, query optimization, transaction isolation) takes longer and depends on practice with realistic data volumes. The MFE-IT SQL Language training compresses the learning curve from beginner to confident practitioner with structured progression.
SQL is the language. MySQL is one specific relational database management system that implements SQL (with MySQL-specific extensions). Other databases — PostgreSQL, Oracle, SQL Server, MariaDB, SQLite — all implement SQL with their own dialects and extensions. Through MFE-IT’s hands-on approach, learners write portable SQL while understanding vendor-specific differences.
A JOIN combines rows from two or more tables based on a related column. INNER JOIN returns matching rows from both, LEFT/RIGHT JOIN returns all rows from one side plus matches, FULL OUTER JOIN returns everything, and CROSS JOIN produces a cartesian product. JOINs are central to relational queries. Our MFE-IT training course on SQL covers each JOIN type with diagrams and progressively complex examples.