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Intermediate SQL for Analytics in 14 days

Window functions, CTEs, advanced JOINs, query optimization, and indexing for real analytics work.

  • Daily plan, 45-60 min a day
  • 7 lessons + 21 exercises
  • AI tutor included
duration14-day sprint
Topics7 total
Exercises21 total
levelIntermediate
  • No prior coding experience required
  • Practice tasks every day
  • Build impressive portfolio project

What you will learn

A powered by mentors Intermediate plan with structured subtopics, quizzes, and practice tasks.

01Core

Window functions

Use ROW_NUMBER, RANK, LAG, LEAD, and running totals over partitions.

02Core

CTEs and recursive queries

Build readable query chains and traverse hierarchies with recursive CTEs.

03Core

Advanced JOINs and set operations

Use CROSS JOIN, FULL OUTER, EXCEPT, and INTERSECT for complex data merges.

04Core

Subqueries and correlated subqueries

Write efficient scalar and correlated subqueries to answer multi-step questions.

05Challenge

Query optimization fundamentals

Read EXPLAIN output and rewrite queries to avoid full scans.

06Core

Indexing strategies

Choose between B-tree, hash, and composite indexes to speed up queries.

07Challenge

Capstone: analytics data mart

Design and query a star-schema data mart for business reporting.

See the quiz + practice flow

Three answered questions and a filled code task so you know exactly what to expect.

Quiz preview

2/3 correct

1. How long is the SQL for Analytics plan?

Correct
14-day sprint
5-day sprint
7-day sprint
10-day sprint

2. What level is this SQL for Analytics plan?

Incorrect
Beginner
Intermediate
Advanced
Expert

3. Which of these appears in the SQL for Analytics outline?

Correct
Window functions
SQL for Analytics workflow playbook
SQL for Analytics best-practice checklist
SQL for Analytics case study

Code practice preview

Submitted

Format a lesson title

Build a helper that formats a lesson label with a padded index and title.

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