# Course Catalog

This document explains the organised course structure available in the Enterprise edition.

## Track 1 — SQL Foundations for Absolute Beginners
### Best for
- complete beginners
- career switchers
- first-time data learners

### Focus
- tables, rows, columns, keys
- SELECT, ORDER BY, LIMIT
- filtering
- CASE logic

---

## Track 2 — SQL for Data Analysis
### Best for
- aspiring data analysts
- Excel users moving into SQL
- dashboard support learners

### Focus
- aggregation
- grouping
- joins
- KPI reporting
- cohort summaries

---

## Track 3 — SQL for Data Science
### Best for
- aspiring data scientists
- ML learners
- notebook users who need stronger data extraction skill

### Focus
- CTEs
- subqueries
- EDA with SQL
- data cleaning
- feature engineering

---

## Track 4 — SQL for BI and Analytics Engineering
### Best for
- BI learners
- analytics engineers
- metrics-layer builders

### Focus
- modelling thinking
- fact and dimension structure
- maintainable SQL
- dashboard-ready logic
- experimentation and decision support

---

## Track 5 — SQL Teaching & Facilitation Pack
### Best for
- teachers
- tutors
- cohort facilitators
- academies

### Focus
- pedagogy
- assignment design
- structured delivery
- certificate flow
- learner support routines

---

## Track 6 — Institutional SQL Literacy Programme
### Best for
- schools
- hubs
- NGOs
- training organisations

### Focus
- rollout planning
- deployment
- governance
- multi-audience delivery
- programme operations

---

## Why this catalog matters
This organised structure helps the platform function more clearly in ultimate and institutional settings while still remaining free for users of the platform.