SQL & Databases Curriculum

Data & Analytics

A structured, level-by-level path through SQL & Databases. Start with Foundations of Relational modelling and Core methods in Filtering & sorting at the Intermediate level, then build toward advanced practice and expert-level mastery — with hands-on projects and quizzes at every stage.

3 levels 9 modules 27 topics 6 weeks · about 24 hours · 8 weeks · about 32 hours · 10 weeks · about 40 hours
Intermediate

Intermediate SQL & Databases

6 weeks · about 24 hours

3 modules

Advanced

Advanced SQL & Databases

8 weeks · about 32 hours

3 modules

Expert

Expert SQL & Databases

10 weeks · about 40 hours

3 modules

SQL & Databases Course Curriculum

9 modules across 3 levels.

Intermediate

Intermediate SQL & Databases

Start with Relational modelling, Filtering & sorting and Joins & set operations. Each module explains the idea, shows a worked example and ends with a short project, so SQL & Databases becomes something you can do rather than something you have only read about.

6 weeks · about 24 hours 3 modules

Topics

Project

Write a one-page explanation of Relational modelling in your own words, with an example you chose yourself, and test it against the module checklist.

Learning Path

1

Foundations of Relational modelling

Work through the three topics in this module, complete the project, then answer the self-check questions before moving on.

2

Core methods in Filtering & sorting

Work through the three topics in this module, complete the project, then answer the self-check questions before moving on.

Prerequisites: Foundations of Relational modelling

3

Applying Joins & set operations

Work through the three topics in this module, complete the project, then answer the self-check questions before moving on.

Prerequisites: Core methods in Filtering & sorting

Practice Problems

EasyExplain Relational modelling to someone who has never studied the subject, using one worked example.
Solution: A strong answer defines relational modelling precisely, gives one concrete example, and names the limitation it runs into.
MediumExplain Filtering & sorting to someone who has never studied the subject, using one worked example.
Solution: A strong answer defines filtering & sorting precisely, gives one concrete example, and names the limitation it runs into.
HardExplain Joins & set operations to someone who has never studied the subject, using one worked example.
Solution: A strong answer defines joins & set operations precisely, gives one concrete example, and names the limitation it runs into.

Glossary

Relational modelling

A central idea in the intermediate SQL & Databases path, covered in the module of the same name.

Example: apply Relational modelling to a small, familiar case step by step, then check your reasoning against the walkthrough.

Filtering & sorting

A central idea in the intermediate SQL & Databases path, covered in the module of the same name.

Example: apply Filtering & sorting to a small, familiar case step by step, then check your reasoning against the walkthrough.

Joins & set operations

A central idea in the intermediate SQL & Databases path, covered in the module of the same name.

Example: apply Joins & set operations to a small, familiar case step by step, then check your reasoning against the walkthrough.

About the SQL & Databases curriculum

The SQL & Databases curriculum is a complete, self-paced course in data & analytics, organised into 3 progressive levels and 9 modules. It opens with Foundations of Relational modelling and Core methods in Filtering & sorting, moves through Applying Joins & set operations and finishes with expert-level work on Leading practice in Normalisation trade-offs and Mastering Backup & recovery.

Across the whole path you work through 27 individual topics — from Relational modelling and Hands-on: relational modelling at the start to Hands-on: backup & recovery and Checking your understanding of backup & recovery by the end. The levels are estimated at 6 weeks · about 24 hours, 8 weeks · about 32 hours and 10 weeks · about 40 hours. Each level assumes the one before it, so you can work straight through from Intermediate to Expert, or start at the level that matches what you already know.

It suits analysts, researchers and students who need to reason with numbers and defend a conclusion, not just run a tool. The emphasis is on interpretation: every technique is introduced with the question it answers, the assumption it needs and the way it fails, so you can apply it to unfamiliar data.

Every module pairs a written summary with a worked example, a short quiz to check the idea landed, and a project brief drawn from real practice. You are never asked to take a concept on trust: the reasoning, the common mistakes and the situations where the approach stops working are all laid out, so you finish a module able to explain the idea rather than only recognise it.

What you’ll be able to do

By the end of the SQL & Databases path you should be able to work confidently with:

Relational modelling

Hands-on: relational modelling

Common pitfalls in relational modelling

Filtering & sorting

Putting filtering & sorting to work

Common pitfalls in filtering & sorting

Joins & set operations

Hands-on: joins & set operations

How the SQL & Databases curriculum is structured

Intermediate 6 weeks · about 24 hours 3 modules 9 topics

Intermediate SQL & Databases

Start with Relational modelling, Filtering & sorting and Joins & set operations. Each module explains the idea, shows a worked example and ends with a short project, so SQL & Databases becomes something you can do rather than something you have only read about.

Modules: Foundations of Relational modelling · Core methods in Filtering & sorting · Applying Joins & set operations

  • Relational modelling: Relational modelling is introduced from first principles, with the few terms you actually need and an example that shows how the idea behaves in practice.
  • Hands-on: relational modelling: Relational modelling is where many SQL & Databases learners first get stuck, so the module slows down, isolates the difficult step and rebuilds it with you.
  • Common pitfalls in relational modelling: Relational modelling is introduced from first principles, with the few terms you actually need and an example that shows how the idea behaves in practice.

Project: Write a one-page explanation of Relational modelling in your own words, with an example you chose yourself, and test it against the module checklist.

Advanced 8 weeks · about 32 hours 3 modules 9 topics

Advanced SQL & Databases

Build on the intermediate level through Aggregation & window functions, Indexes & query plans and Transactions & isolation. The emphasis shifts from knowing the ideas to choosing between them — trade-offs, failure modes and the reasoning behind each decision.

Modules: In depth Aggregation & window functions · Patterns and trade-offs in Indexes & query plans · Scaling Transactions & isolation

  • Aggregation & window functions: Here Aggregation & window functions becomes a design decision. You compare alternatives, justify a choice and test it against a harder problem.
  • Hands-on: aggregation & window functions: Aggregation & window functions is pushed past the textbook case: competing approaches, their trade-offs and the situations where each one breaks down.
  • Checking your understanding of aggregation & window functions: Here Aggregation & window functions becomes a design decision. You compare alternatives, justify a choice and test it against a harder problem.

Project: Produce a short case analysis in which Aggregation & window functions drives the recommendation, including the alternatives you rejected and why.

Expert 10 weeks · about 40 hours 3 modules 9 topics

Expert SQL & Databases

Work at the edge of SQL & Databases through Schema migrations, Normalisation trade-offs and Backup & recovery. The modules assume fluency and ask for judgement: designing, critiquing and defending work at a professional standard.

Modules: Frontiers of Schema migrations · Leading practice in Normalisation trade-offs · Mastering Backup & recovery

  • Schema migrations: This module asks you to critique and extend Schema migrations rather than simply apply it, producing work another expert could review.
  • Hands-on: schema migrations: At expert level Schema migrations is treated as a field of judgement: current practice, contested positions and the evidence behind each.
  • Checking your understanding of schema migrations: This module asks you to critique and extend Schema migrations rather than simply apply it, producing work another expert could review.

Project: Write a professional-standard brief on Schema migrations — argument, evidence, limitations — plus a plan for taking the work further.

How to study SQL & Databases, phase by phase

  1. 1

    Phase 1 — Intermediate

    Set aside around 6 weeks · about 24 hours. Work through 3 modules, starting with Foundations of Relational modelling and Core methods in Filtering & sorting. Finish the phase by completing the project brief: Write a one-page explanation of Relational modelling in your own words, with an example you chose yourself, and test it against the module checklist.

  2. 2

    Phase 2 — Advanced

    Set aside around 8 weeks · about 32 hours. Work through 3 modules, starting with In depth Aggregation & window functions and Patterns and trade-offs in Indexes & query plans. Finish the phase by completing the project brief: Produce a short case analysis in which Aggregation & window functions drives the recommendation, including the alternatives you rejected and why.

  3. 3

    Phase 3 — Expert

    Set aside around 10 weeks · about 40 hours. Work through 3 modules, starting with Frontiers of Schema migrations and Leading practice in Normalisation trade-offs. Finish the phase by completing the project brief: Write a professional-standard brief on Schema migrations — argument, evidence, limitations — plus a plan for taking the work further.

  4. 4

    Phase 4 — Consolidate

    Return to the sections that felt weakest, redo their quizzes from memory, and rebuild the Write a one-page explanation of Relational modelling in your own words, with an example you chose yourself, and test it against the module checklist. without following along. Explaining SQL & Databases to someone else in plain language is the clearest signal that the Expert level has landed.

Once you have finished, the SQL & Databases path is a reasonable foundation for analytics, data science, research and quantitative roles. Because the curriculum is generated and kept as a structured outline rather than fixed videos, you can revisit any module, regenerate the outline at a different depth, or save it to your library and work through it over weeks rather than in one sitting.

SQL & Databases — Frequently Asked Questions

Common questions about studying SQL & Databases on LearnAnyCourse.

What does the SQL & Databases curriculum cover?

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The SQL & Databases curriculum is organised into 3 levels (Intermediate, Advanced and Expert) and 9 modules, including Foundations of Relational modelling, Core methods in Filtering & sorting, Applying Joins & set operations, In depth Aggregation & window functions, Patterns and trade-offs in Indexes & query plans and Scaling Transactions & isolation.

How long does it take to learn SQL & Databases?

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Each level is designed to take about 6 weeks · about 24 hours, 8 weeks · about 32 hours and 10 weeks · about 40 hours. Most learners work through one level at a time at their own pace.

Is the SQL & Databases curriculum free?

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Yes. Every SQL & Databases curriculum on LearnAnyCourse is free to read and study — create an account only if you want to save curricula to your personal library.

Do I need prior experience to study SQL & Databases?

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The curriculum starts at the intermediate level and builds upward, so you can begin with the fundamentals and progress to expert-level SQL & Databases topics without jumping ahead.

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