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Interview Prep · Reviewed September 2026

Data Science Interview Questions for Delhi

Sample questions organised by the same topics covered in the Delhi programme's curriculum — useful for self-practice before an interview.

⚡ Quick answer

Delhi's data science hiring process typically tests candidates across Python, SQL, statistics, machine learning, deep learning, NLP, BI tools and — increasingly — Generative AI. Uncodemy's Data Science course for Delhi learners builds interview readiness directly into Module 11 (Capstone Projects & Career Preparation) through SQL and case-study interview practice and mock interviews with feedback.

Topic 1

Python Interview Questions

What is the difference between a list, a tuple and a set in Python?
How do you handle missing values in a Pandas DataFrame?
What is vectorisation in NumPy, and why is it faster than a Python loop?
Explain the difference between .loc and .iloc in Pandas.
How would you merge two DataFrame on a common key?

Topic 2

SQL Interview Questions

What is the difference between an INNER JOIN and a LEFT JOIN?
How do window functions like RANK() and ROW_NUMBER() differ?
Write a query to find the second-highest salary in a table.
What is a Common Table Expression (CTE), and when would you use one?
How do GROUP BY and HAVING differ from WHERE?

Topic 3

Statistics & Probability Interview Questions

Explain the Central Limit Theorem in simple terms.
What is the difference between a p-value and a confidence interval?
When would you use a t-test versus a chi-square test?
What does correlation not imply, and why does it matter for analysis?
How would you design an A/B test for a product change?

Topic 4

Machine Learning Interview Questions

What is the bias-variance trade-off?
How does a random forest differ from a single decision tree?
Explain precision, recall and F1-score, and when each matters more.
What is the purpose of cross-validation and hyperparameter tuning?
How do you decide between a classification and a regression approach for a problem?

Topic 5

Deep Learning & NLP Interview Questions

What is backpropagation, and why is it central to training neural networks?
When would you choose a CNN over an RNN or LSTM?
What is transfer learning, and why is it useful with limited data?
Explain TF-IDF and how it differs from a simple Bag of Words model.
What is Named Entity Recognition (NER) used for in a business context?

Topic 6

Power BI, Tableau & Generative AI Interview Questions

How do you design a DAX measure in Power BI versus a calculated field in Tableau?
What is drill-through, and how does it improve a dashboard's usability?
How would you use AI assistance to draft or debug a SQL query, and how would you verify it?
What data privacy precautions apply before pasting business data into a public AI tool?
How do you check an AI-generated summary for hallucinated or wrong aggregations?

Preparation

How Uncodemy Prepares Delhi Learners for Interviews

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SQL & Case-Study Practice

Built into Module 11.

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Mock Interviews

Sessions with industry trainers, followed by written feedback.

📝

Resume & LinkedIn

Resume building and LinkedIn optimisation aligned to data science keywords.

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Portfolio Review

Review of your guided projects and capstone project.

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Hiring Network

Relevant openings shared from a hiring network of 850+ companies, with support through the application and interview process.

Have Questions?

Frequently Asked Questions

What topics should I prepare for a data science interview in Delhi?▾

Employers in Delhi NCR typically test Python, SQL, statistics, machine learning fundamentals, at least one applied ML project, and increasingly some familiarity with Gen AI tools — all of which are covered in Uncodemy's eleven-module syllabus.

Does Uncodemy provide mock interviews for Delhi learners?▾

Yes. Module 11 includes mock interview sessions with industry trainers, followed by written feedback on what to fix, alongside SQL and case-study interview practice.

Can a fresher clear a data science interview in Delhi?▾

Yes, entry-level roles are open to freshers. Employers typically expect working Python, SQL, at least one ML project and a portfolio — all of which this programme is built to deliver.

Are these interview questions guaranteed to appear in an actual interview?▾

No. These are practice questions based on the topics taught in the curriculum, meant to help you prepare. Actual interview questions vary by employer, role and interview panel.

Last reviewed: September 2026.