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Learning how to crack a data science interview ultimately comes down to realistic rehearsal, and one or two mock interviews expose gaps that self-study alone never reveals."},{"question":"What is asked in a data science interview?","answer":"Rounds usually cover SQL queries, statistics and probability, Python or R, basic machine learning, and a detailed discussion of your resume projects, with some companies adding guesstimates or case studies. Data science interview questions for freshers are mostly fundamentals-based, so expect problems like finding the second highest salary in SQL, explaining hypothesis testing, or walking through a project end to end rather than advanced deep-learning topics."},{"question":"How to prepare for SQL interview questions?","answer":"Cover topics in order of how frequently they are asked: SELECT with filtering and sorting, JOINs, GROUP BY with HAVING, subqueries, CTEs, and window functions like ROW_NUMBER and RANK. 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Practicing SQL interview questions daily in short focused sessions beats occasional long marathons."},{"question":"What are the most common SQL interview questions for freshers?","answer":"Freshers are almost always asked to find the second highest salary, remove duplicates from a table, join two tables with conditions, use GROUP BY with aggregate functions, and write queries using window functions. Expect variations around finding duplicates, top N rows per group, and NULL handling as well. The best approach to SQL interview questions for freshers is to master 25–30 core query patterns deeply instead of skimming hundreds of questions superficially."},{"question":"What are the common data analytics interview questions?","answer":"Data analytics interviews typically test SQL, Excel, basic statistics, and a case-study or guesstimate round, along with a walkthrough of your projects. 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Mock interview: Resume based Data Science/Analyst with Raghu Tiwari

Raghu Tiwari

Mock interview: Resume based Data Science/Analyst

About this session