A Great Place to Upskill
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A Great Place to Upskill
Get the latest updates from Product Space
The complete practical course from tables and joins to window functions and interview prep
Stop waiting on the analytics team for every number. Learn the SQL a PM actually needs to ask their own questions, sanity-check results, and speak the language of data teams.
Understand why queries can answer questions dashboards cannot anticipate
Learn how databases are organized into tables, rows, columns, and keys
Read a basic SQL query without fear
Understand the PM's role between dashboards, raw data, analysts, and data engineers
Follow the query lifecycle from framing a question to making a decision
Build a practical mental model of SQL and understand where it fits into a PM's work.
Use SELECT, FROM, and WHERE to retrieve precise data
Filter, sort, and limit results with WHERE, ORDER BY, and LIMIT
Aggregate data with GROUP BY, COUNT, SUM, and AVG
Connect tables using JOINs without breaking your numbers
Recognize common SQL mistakes that can quietly produce wrong answers
Learn the core SQL patterns needed to ask precise questions and work with product data.
Build funnel analyses in SQL
Create cohort and retention queries
Segment users with CASE WHEN and subqueries
Analyze dates, trends, and time-based comparisons
Apply core SQL concepts to common product-analysis problems and turn raw data into useful product insights.
Sanity-check your own query
Translate vague product questions into precise, queryable questions
Write clear data requests that analysts can actually use
Decide when to write SQL yourself and when to ask for help
Use permanence and blast radius to determine the right level of ownership
Develop the habits needed to sanity-check analysis, frame useful questions, and work effectively with data teams.
Use window functions for rankings, running totals, and period-over-period comparisons
Use CTEs to make complex queries readable
Understand schema, grain, source of truth, and data freshness
Recognize the roles of production databases, data warehouses, transformation layers, and BI tools
Understand how data pipelines and refresh schedules affect the numbers you see
Build familiarity with advanced SQL concepts and the modern data stack so you can work effectively with data teams.
Define the vague question and its precise, queryable version
Write at least three real queries
Include a simple filter or count, a GROUP BY aggregation, and a funnel, cohort, or window-function trend
Create a sanity-check log for each query
Write a decision memo explaining what the data shows, what decision it should inform, and what you still need to know
Pick one real product question you do not currently have a clean answer to and produce a small set of SQL queries with a one-page write-up.
Precision of the question
Query quality
Sanity-checking
Decision framing
Foundations and technical fluency
Product judgment
Query construction
Data quality and trust
Scenario and case-style questions
Review 25 SQL and data interview questions organized around the same structure as the course, with notes on what strong answers demonstrate.
Clear understanding of SQL and database concepts
Product judgment behind technical choices
Ability to construct practical SQL queries
Awareness of data quality, definitions, grain, and freshness
Ability to approach product-analysis scenarios from question to decision
Akhil Yash Tiwari
Founder
