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Free Learning Resources
Mentor-written guides and top interview Q&A for data, analytics, and product roles — all free, no signup required.
Reading Guides
In-depth guides, written by practitioners.
Data Analyst
SQL, dashboards, and interview prep — from beginner to job-ready.
Product Analyst
Funnels, cohorts, and product sense for analytics-heavy PM roles.
Data Scientist / ML
Stats, experimentation, and ML fundamentals with real interview cases.
BI Developer
Dashboards, semantic layers, and the craft of self-serve analytics.
Role Paths
Pick your role and start learning.
Data Analyst
6 modules · 3 free lessons · 10 questions
SQL, dashboards, and storytelling with data.
Concepts & Guides
4 modules- Guide
The 30-day Data Analyst ramp-up
Week-by-week plan from SQL basics to your first portfolio project.
- Primer
SQL patterns recruiters actually test
The eight queries every Data Analyst interview tries to break you on.
- Playbook
How to build a dashboard people actually open
Five principles that separate a 'pretty chart' from a decision-driving dashboard.
- Cheatsheet
Writing an insight memo recruiters read twice
A one-page template that turns analysis into impact.
Interview Q&A
10 questions- 01
Walk me through your approach to a new dataset.
- 02
What's the difference between WHERE and HAVING?
- 03
Explain a window function and when you'd use one over GROUP BY.
- 04
How do you find the second-highest salary per department?
- 05
INNER JOIN vs LEFT JOIN, pick one and defend it for finding users without orders.
- 06
Your dashboard suddenly shows a 30% drop. Walk me through your debug.
- 07
What's a primary key vs a surrogate key?
- 08
How would you measure if a new feature is successful?
- 09
Explain a CTE and when you'd use it.
- 10
Tell me about a time your analysis changed a decision.
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