Question 1

How are problems mapped to companies?

Accepted Answer

Each problem is framed as a real business scenario at a specific company. For example, a problem at Netflix might ask you to analyze subscriber churn, while a problem at Stripe might involve payment failure rates. The schemas and data reflect realistic industry patterns for each company.

Question 2

Which companies have interview questions?

Accepted Answer

All 1625 problems are mapped to 121 primary companies across technology, finance, retail, social media, streaming, enterprise software, healthcare, telecom, hospitality, and logistics. This directory highlights 60 substantial company hubs with at least 10 questions each.

Question 3

What difficulty levels are available?

Accepted Answer

Problems range from Easy (basic SELECT, WHERE, simple pandas operations) to Medium (JOINs, GROUP BY, merge, aggregation) to Hard (window functions, CTEs, complex reshaping) to Expert (multi-step analysis, optimization, advanced analytics). Each company page shows the difficulty distribution.

Question 4

How should I prepare for a data science interview at a specific company?

Accepted Answer

Start with the company page to see problems modeled after that company's domain. Use Learn Mode in the AI Mentor for Socratic guidance on problems you find challenging, then switch to Interview Mode for timed practice with direct hints and code skeletons. Each problem includes a detailed solution with interview explanation tips.

SQL & Python Interview Questions by Company

Popular Collections

Technology15 companies

Finance & Fintech13 companies

Retail & E-Commerce5 companies

Social Media3 companies

Streaming & Media4 companies

Enterprise Software4 companies

Healthcare & Insurance4 companies

Hospitality & Travel3 companies

Logistics & Delivery5 companies

Telecom & ISP4 companies

Not sure which company to start with?