Learn to master SQL fundamentals!
Eligible CPF and multi-financing up to 100%
To be recalled Access to the programmeApproach 3P
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Experience an immersive and intensive training experience, designed to dive into practical workshops and real case studies.
Learn by doing, and develop concrete skills directly applicable to your future projects.
At the end of your career, we evaluate your acquired skills, issue certification attesting to your expertise, and accompany you to ensure your success in your professional projects.
You are now ready to excel!
Description of the training
This training allows you to learn the basics of SQL language to create, delete, control, query, manipulate and analyze data in relational databases.
Objectives of training
At the end of this training, participants will be able to:
Acquire SQL Databases: Learn how to write simple SQL queries to interact with a database.
Understanding the concepts of relational databases: To become familiar with the structure of databases, tables, and the relationships between them.
Mastering data manipulation techniques: Knowing how to insert, modify, delete and query data effectively.
Use joins and sub-requests: Learn how to combine and filter data from multiple tables.
Optimize the use of SQL: Understand how to write high-performance queries tailored to the specific needs of users.
Who is this training for?
The training is aimed at a wide audience, including:
Beginners in Database Management:For those who want to learn the basics of SQL.
Data Analysts:For those who want to extract and analyze data with SQL.
Beginner Developers:For developers who want to integrate SQL into their applications.
Project managers or managers:For those who want to understand data management and collaborate with technical teams.
Computer or data science consustants:For consultants who want to master SQL.
Prerequisites
Basic knowledge of information systems.
Programme
The training programme is structured around several main modules:
Introduction to Databases and Database Queries
- Introduction to relational databases: Understanding what a database is, tables, and relationships between them.
- SQL Basic Syntax: Learn how to write simple SQL queries to extract, insert, edit, and delete data.
- SELECT requests: Introduction to data selection requests, use of WHERE, ORDER BY and LIMIT clauses.
- Data handling: Using INSERT, UPDATE, and DELETE commands to manage database data.
- Table creation and management: Learn to create tables, define primary and foreign keys, and understand integrity constraints.
- Practical workshops: Practical case resolution to manipulate data using SQL queries.
Advanced Techniques and Query Optimization
- SQL joins: Understanding and applying joins (INNER JOIN, LEFT JOIN, RIGHT JOIN) to combine multiple tables.
- Sub-requests: Introduction to sub-requests and their use to perform complex data operations.
- Aggregation Functions: Learn how to use functions like CUNT, SUM, AVG, MIN, MAX to aggregate data.
- SQL Query Optimization: Learn good practices to write faster and more efficient queries (indices, EXPLAIN usage, and performance management).
- Transaction Management: Introduction to the use of transactions to ensure data integrity with COMMIT and ROLLBACK commands.
- Practical workshops: Implementation of techniques learned through practical workshops and case studies.
Training assets
Pedagogical approach alternating theory and practice.
Qualified trainers with experience in Big Data.
Access to modern teaching tools and resources.
Training accessible to all, without advanced technical prerequisites.
Pedagogical methods and tools used
Live demonstrations on SQL tools and platforms.
Real case studies with analysis of concrete solutions.
Group work to foster interaction and practical learning.
Feedback on best practices in business.
Evaluation
- MCQ at the end of training.
- Practical case studies.
- Continuous evaluation with personalized feedback.
Normative References
Uniformity and Interoperability:SQL standards, such as SQL:1992, SQL:1999 and SQL:2003, define common rules that ensure compatibility between different systems for managing relational databases, allowing users to work with various platforms without encountering incompatibility problems.
Continuous evolution of functionality:SQL standards are evolving to incorporate new features, such as support for complex data types, analytical functions, and time transactions, allowing for the growing need for complex data processing and advanced database management.