Are you preparing for Data Science / Analyst interviews and feeling overwhelmed with scattered resources? This 110+ page Interview Guide is your one-stop solution 🚀
✅ Machine Learning (30%) – Elaborated theory, diagrams, and real-world Q&A
✅ Probability & Statistics (15%) – Core concepts explained in detail
✅ Deep Learning, NLP, CV & LLMs (15%) – Concise coverage with external PDFs for diagrams + math intuition
✅ Python & SQL (20%) – Practical, short & crisp questions + coding practice links
✅ Tableau, Power BI & Advanced Excel (10%) – Essential functions and case-based Qs
✅ Guesstimates & Case Studies (10%) – Practice problems for BA/DA roles
✅ Miscellaneous (ETL, Cloud, Big Data, Data Engineering) – Overview for real-world exposure
🔹 Structured from fresher → advanced level
🔹 Includes external study links, coding docs, and book references
🔹 Prepares you for role-specific variations (ML-heavy, SQL-heavy, Tableau-heavy roles)
🔹 Works as both a study companion and quick revision guide
✨ Whether you’re a fresher or early-career professional, this guide will help you crack interviews with confidence.
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