Data Quality and Trust
Back to Course
SQL for Product Managers
Module 1
Why SQL Is a PM Skill
The Query Is the New Follow-Up Question
How a Database Is Actually Organized
Reading Your First Query Without Fear
Where PMs Actually Sit Between Dashboards and Raw Data
The Query Lifecycle, From Question to Decision
Module 2
Core SQL Every PM Must Know
SELECT, FROM, WHERE: Asking a Precise Question
Filtering and Sorting: WHERE, ORDER BY, LIMIT
Aggregating Data: GROUP BY, COUNT, SUM, AVG
JOINs: Connecting Tables Without Breaking Your Numbers
Common Mistakes That Quietly Give You the Wrong Answer
Module 3
Building Real Product Analysis
Funnel Analysis in SQL
Cohort and Retention Queries
Segmenting Users: CASE WHEN and Subqueries
Time-Based Analysis: Dates, Trends, and Comparisons
Module 4
Working With Data Like a PM, Not an Analyst
Sanity-Checking Your Own Query
From Query to Decision: Framing the Ask
Writing a Data Request an Analyst Can Actually Use
When to Write SQL Yourself vs. When to Ask for Help
Module 5
Advanced Concepts and Working Cross-Functionally
Window Functions, Explained Without Fear
CTEs: Making Complex Queries Readable
Speaking the Language of Data Teams
SQL and the Modern Data Stack, for PMs
Module 6
Write and Run a Real Product Metrics Query Set
Capstone: Write and Run a Real Product Metrics Query Set
The Brief
The Four Required Deliverables
How You Will Be Assessed
Module 7
25 SQL and Data Interview Questions for Product Managers
Foundations and Technical Fluency
Product Judgment
Query Construction
Data Quality and Trust
Scenario and Case Style
Lesson 5
Data Quality and Trust
Mark as Complete