Websites to Practice Data Science Technical Interviews

Ahmed Zayed · 2025-09-01T03:28:57.927Z

If you’re preparing for Data Analyst, Data Scientist, or ML Engineer interviews, these platforms will help you practice the exact skills interviewers test : 🧮 SQL & Data Manipulation StrataScratch → Real SQL interview questions from companies like Facebook, Amazon, Google. HackerRank (SQL + Data Science) → Timed challenges that simulate actual interviews. LeetCode – Database Section → Hundreds of SQL practice problems. 📊 Analytics & Business Case Studies CaseCoach → Business analytics cases to practice structured problem-solving. Interview Query → DS-specific practice: product metrics, A/B testing, SQL, ML. Mode Analytics SQL Tutorials → Hands-on SQL with built-in datasets. 🤖 Machine Learning & Algorithms Kaggle → Competitions, kernels, and datasets to practice building models. DrivenData → ML competitions focused on social impact problems. DataCamp – Skill Tracks → Structured ML interview prep paths. CodeSignal → Timed coding & ML-related assessments. 📈 Statistics & Probability Brilliant.org → Interactive probability & stats practice. Khan Academy – Statistics → Quick refreshers before interviews. Interview Query – Statistics Section → Hypothesis testing, p-values, distributions. 🛠️ End-to-End Interview Practice Pramp → Free, live mock DS/DA interviews with peers. interviewing.io → Anonymous mock interviews with real data scientists. DataLemur → SQL + Data Science interview-style questions with explanations. 💡 How to Use This for Interview Prep: If your role is Data Analyst → focus on SQL (StrataScratch, DataLemur, Mode). If your role is Data Scientist → combine ML (Kaggle, DrivenData) + stats (Interview Query). If your role is ML Engineer → practice coding & deployment scenarios (HackerRank, CodeSignal). 👉 After finishing a problem, write a short debrief : the dataset, approach, tools used, result, and “how I’d explain this to a hiring manager.” That’s how you prepare for the “walk me through your solution” questions.

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