# Data Science Interview Questions
1. **Statistics and Probability**
- Explain the difference between a population and a sample.
- What is the Central Limit Theorem and why is it important?
2. **Machine Learning**
- What's the difference between supervised and unsupervised learning?
- Explain the concept of overfitting and how to prevent it.
3. **Data Manipulation and Analysis**
- How would you handle missing data in a dataset?
- Explain the difference between SQL and NoSQL databases.
4. **Programming**
- What are the main differences between Python and R for data science?
- How would you optimize a slow-running Python script?
5. **Big Data**
- What is Hadoop and how does it work?
- Explain the concept of MapReduce.
6. **Data Visualization**
- What are some key principles of effective data visualization?
- Compare and contrast different types of charts (e.g., bar charts, scatter plots, heatmaps).
7. **Deep Learning**
- Explain the concept of a neural network.
- What is the difference between CNN and RNN?
8. **Ethics in Data Science**
- How would you ensure data privacy in a project?
- Discuss potential biases in machine learning models and how to mitigate them.
Tendem
Mini tools
