Learn SQL for Analytics in 7 days

Joins, aggregates, and query patterns for business insights.

  • Daily plan, 45-60 min a day
  • 6 lessons + 18 exercises
  • AI tutor included
duration7-day sprint
Topics6 total
Exercises18 total
levelBeginner
  • No prior coding experience required
  • Practice tasks every day
  • Build impressive portfolio project

What you will learn

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

01Foundation

SQL basics and querying

Write SELECT queries and filter records.

02Foundation

Filtering, sorting, and joins

Combine tables and shape query results.

03Core

Aggregations and window functions

Summarize data with aggregates and windows.

04Core

Subqueries and CTEs

Structure complex queries with CTEs.

05Core

Analytics patterns and KPIs

Build KPI queries for product and marketing metrics.

06Challenge

Build a reporting query

Create a report-ready SQL query end-to-end.

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
7-day sprint
5-day sprint
10-day sprint
14-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
SQL basics and querying
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.

Loved by Lifelong Learners

See how students, professionals, and forward-thinkers are upgrading their minds with Kavka.

โ€œI used to ask our data team for every report. Now I write the queries myself. This plan changed my workflow.โ€

Kate P.growth lead

โ€œThe practice tasks felt like real work, so the lessons actually stuck.โ€

Miguel TorresBackend Engineer

โ€œThirty minutes a day and I was shipping again. The structure keeps me honest.โ€

Emily ChenUX Designer

Query data like an analyst

7 days of joins, aggregates, CTEs, and KPI patterns โ€” get answers from data without waiting for anyone.

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