reddit hackernews mail facebook facebook linkedin

The basics of SQL

This hands-on training is designed to give developers, analysts, and IT professionals a solid foundation in SQL. You’ll learn how to design databases, write efficient queries, and analyze data using real-world exercises and best practices. Whether you’re just getting started or looking to deepen your skills, this course will make you fluent in relational database querying.


The basics of SQL
Download the program (pdf)

Targeted audience:

  • Developers
  • Data analysts
  • System administrators

Educational goals:

  • Understand the structure and logic of relational databases
  • Design and create normalized database schemas
  • Write basic and advanced SQL queries to retrieve and manipulate data
  • Perform data aggregation and analysis using SQL functions
  • Optimize queries and apply best practices for performance

Prerequisites:

  • Basic understanding of data and its organization (spreadsheets, tables)
  • Familiarity with fundamental programming or logic concepts (variables, conditions)

Program:

Day 1 - SQL fundamentals

Introduction to SQL and relational databases
  • Theoretical explanation of the relational model
  • Database architecture and components
  • Basics of SQL: syntax, structure, and execution
Database design and schema creation
  • Understanding ER diagrams and normalization
  • Creating tables: CREATE TABLE, constraints (PRIMARY KEY, FOREIGN KEY, etc.)
  • Data types and indexing
Basic SQL queries
  • Retrieving data with SELECT, filtering with WHERE
  • Using operators (AND, OR, LIKE, IN)
  • Sorting results with ORDER BY

Day 2 - Advanced SQL concepts

Advanced queries and joins
  • Understanding INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
  • Combining results with UNION and INTERSECT
Aggregations and subqueries
  • Grouping data with GROUP BY, filtering with HAVING
  • Using aggregate functions (COUNT, SUM, AVG, etc.)
  • Writing subqueries with EXISTS, NOT EXISTS
Window functions
  • Introduction to window functions (OVER, PARTITION BY)
Performance optimization
  • Optimizing queries with indexing
  • Common pitfalls and best practices



Gwendal Le Coguic - contact@glc.st - quotes on request - SIRET 79778302400038