SQL.tn courses and training
Learn SQL through a progressive path, focused micro-courses, solved exercises and business projects. Start without installing anything and follow your goal.
Your SQL path
Start with the problem SQL solves, build your foundations, then move to analysis and advanced PostgreSQL.
Understand why companies use databases, then write your first query to solve a real problem.
35 to 45 minDiscover →From your first query to a complete business analysis: filters, calculations, dates, aggregations, joins and CTEs.
20 structured lessonsDiscover →Prepare metrics with aggregations, dates, CTEs and window functions.
10 structured lessonsDiscover →Structure, modify, automate, secure and optimise a database in an isolated laboratory.
8 structured lessonsDiscover →Included practice paths
These focused paths reuse the existing catalogue and keep one shared progression.
Course explorer
25 results
25 resources currently available
From your first query to a complete business analysis: filters, calculations, dates, aggregations, joins and CTEs.
Understand why companies use databases, then write your first query to solve a real problem.
Build revenue indicators from fictitious sales spread across multiple cities and channels.
Prepare metrics with aggregations, dates, CTEs and window functions.
Structure, modify, automate, secure and optimise a database in an isolated laboratory.
Understand the principles behind preparing a reliable SQL source for a Power BI model.
Practise common questions and realistic hands-on cases.
Understand the language, systems and dialects so you can choose the right documentation and write portable SQL with judgement.
Stop invalid data in the right place with types, keys and constraints.
Make several related changes succeed or fail together.
React to a data event without hiding business logic unnecessarily.
Reuse query logic and decide when its result should be materialized.
Read a simple plan and add an index only when it solves a measured problem.
Encapsulate database-side logic while understanding its cost and alternatives.
Grant only the access required and understand row-level security.
Understand how to prepare clean data at the right grain before working in Power BI.
Compare, rank and calculate changes without losing row-level detail.
Turn data-quality suspicions into repeatable, prioritised checks.
Link orders, lines and products to distinguish revenue, costs and margin by category.
Prepare inventory, revenue and coverage indicators for an operational team.
Transform order history into useful segments for a marketing team.
Connect queues, contacts, intervals and schedule to measure volume, abandonment, DMT and SLA without logging agents.
Calculate MRR, revenue movements, logo churn, retention and cohorts from verifiable events.
Measure lead time, promise fulfillment, carriers, warehouses and time evolution.
Calculate durations, trends and aggregated rates by department without exposing individual data.