
Computer science, data protection & data science instructor
Feten Ben Fredj
Doctor in computer science with teaching and consulting expertise in data protection, anonymisation, software systems and data science.
Professional training module
Duration: 15 hours (5 sessions divided into two 3-hour sessions, minimum 1 session per week) Audience: Managers, team leaders, project managers, and anyone interested in learning SQL to handle databases and data-driven decision-making. Course Overview What’s This Course About? In …
Overview
Duration: 15 hours (5 sessions divided into two 3-hour sessions, minimum 1 session per week) Audience: Managers, team leaders, project managers, and anyone interested in learning SQL to handle databases and data-driven decision-making. Course Overview What’s This Course About? In …
Learning outcomes
Learn SQL Fundamentals: Understand how SQL works and its role in managing databases.
Master Key SQL Commands: Gain proficiency in basic SQL commands for data querying, updating, and database management.
Improve Data Handling Skills: Learn how to filter, sort, and aggregate data, helping you make better data-driven decisions.
Understand Database Structure: Get a basic understanding of how databases are structured and how to navigate them.
Module content
Duration: 15 hours (5 sessions divided into two 3-hour sessions, minimum 1 session per week)
Audience: Managers, team leaders, project managers, and anyone interested in learning SQL to handle databases and data-driven decision-making.
In today’s data-driven world, understanding SQL is crucial for managing and analyzing business data. This crash course is designed to help you learn the essentials of SQL in a fast-paced, hands-on format. Over five intensive sessions, you’ll master basic SQL commands, work with databases, and learn how to manipulate data effectively for your business needs.
Course Goals:
Session 1: Introduction to Databases and SQL Syntax
Learn the basics of SQL queries and database structures.
Session 2: Retrieving Data with SQL
Master selecting and filtering data using SQL commands.
Session 3: Working with Multiple Tables: Joins
Learn how to combine data from multiple tables with joins.
Session 4: Modifying Data and Database Structure
Understand how to modify and update data and tables in a database.
Session 5: Advanced SQL and Real-World Applications
Apply advanced SQL techniques and solve real-world data problems.
Form Updated on: 02/13/2025 (Version 1)
Last Modified on: 02/13/2025
Program Information
This program is updated in real-time to reflect the latest legislative and jurisprudential developments.
Introduction à SQL est présenté ici en version synthétique française afin que les équipes pédagogiques puissent évaluer rapidement l'intérêt du module.
Le module s'inscrit dans la famille Séries intensives. Il peut être adapté au calendrier de l'école, au niveau Débutant, au volume horaire 15 h et aux modalités d'évaluation prévues.
Ce module vise à relier les outils data, IA et automatisation à des usages professionnels concrets.
LC peut ajuster le déroulé, la langue d'enseignement, les supports, les exercices et les critères d'évaluation selon la promotion, le diplôme, le niveau d'autonomie attendu et les contraintes de planning.
Pour une version détaillée du syllabus en français, LC confirme le programme final après cadrage du niveau, des heures, du calendrier et des livrables attendus.
Academic delivery team
After reviewing the module content, LC confirms the right delivery profile by topic, level, teaching language and assessment expectations.

Computer science, data protection & data science instructor
Doctor in computer science with teaching and consulting expertise in data protection, anonymisation, software systems and data science.
Data analytics & visualisation instructor
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