Data Science Questions 13 total
Data Science ×
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1What are Python generators and when should you use them?
A generator is a function that yields values one at a time instead of returning them all at once — saving memory.
**Regular function vs G...
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2How to prepare for a data science interview in 30 days?
**Week 1 — Statistics & Probability**
- Probability distributions, Bayes theorem
- Hypothesis testing, p-values
- A/B testing basics
**We...
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3Top 10 Python interview questions for data science jobs
Here are the most commonly asked Python questions in data science interviews:
1. Difference between list, tuple, and set
2. Explain generat...
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4Is Python enough to get a data science job?
Python alone is NOT enough, but it's the most important skill.
You need:
1. **Python** (Pandas, NumPy, Scikit-learn, Matplotlib)
2. **SQL**...
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5What is the average salary for a data science fresher in India 2025?
For freshers in India (2025 data):
- **Entry level (0-1 year):** ₹3.5 – ₹7 LPA
- **Junior Data Scientist (1-3 years):** ₹6 – ₹1...
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6How to get a data science job with no experience?
Getting your first data science job without experience is challenging but very doable. Here's a proven roadmap:
1. **Build skills** — Pyt...
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7What is the difference between correlation and causation?
**Correlation** — two variables change together (positive or negative relationship)
**Causation** — one variable directly causes the cha...
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8What is Pandas and how is it used in data science?
Pandas is a Python library for data manipulation and analysis. It provides two main data structures:
**Series** — 1D labelled array
**Dat...
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9What is feature engineering in machine learning?
Feature engineering is the process of using domain knowledge to create, transform, or select input variables (features) that help ML models ...
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10What is the difference between mean, median, and mode?
**Mean** — sum divided by count. Sensitive to outliers.
**Median** — middle value when sorted. Robust to outliers.
**Mode** — most fre...
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11What is the data science lifecycle?
The data science lifecycle has 6 stages:
1. **Business Understanding** — define the problem
2. **Data Collection** — gather relevant da...
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12What is overfitting and how do you prevent it?
Overfitting occurs when a model learns the training data too well (including noise), so it performs poorly on new data.
**Signs:** High tra...
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13What is the difference between Data Science and Artificial Intelligence?
I am confused between Data Science and AI. Which course should I take first? What are the career opportunities in both fields in India?...