Tables, Rows, Columns, Schemas, and Relational Thinking
Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.
SQL for Data Analysis and AI
A small analytics database, checked SQL queries, row-count reconciliation, and an AI-ready data evidence memo.
SELECT, WHERE, ORDER BY, and LIMIT
Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.
Data Types, Missing Values, and Safe Filtering
Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.
Aggregation with GROUP BY and HAVING
Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.
Joins, Keys, Row Counts, and Duplicate Traps
Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.
Subqueries and Common Table Expressions
Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.
Window Functions for Ranking, Running Totals, and Cohorts
Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.
Date and Time Analysis with Period Comparisons
Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.
Text Fields, Categorisation, and Feature Preparation
Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.
Query Validation: Reconciliation, Edge Cases, and Sanity Checks
Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.
SQL plus Python and pandas for Analysis Workflows
Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.
AI Data Preparation: Retrieval Tables, Metadata, Permissions, and Audit Fields
Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.
Capstone: Analysis-Ready Dataset and SQL Evidence Memo
Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.
First-release boundary
This is a text-first course shell. Leonardo/image creation, image QC, dependency-heavy runtime QA, external review, and learner pilot evidence remain separate later quality steps.