Welcome to the Statistics Interview Preparation Guide! This repository is a curated collection of interview questions and answers specifically tailored for Data Scientists. Whether you're gearing up for a technical interview or looking to enhance your statistical knowledge, this guide is designed to help you succeed in the dynamic field of data science.
As a data scientist, a strong foundation in statistics is crucial. This repository aims to provide you with a comprehensive resource to prepare for statistical interviews, covering a wide range of topics that are commonly asked in interviews.
- Explore the different .md files corresponding to different statistical topics.
- Each .md file contains a set of interview questions and detailed answers.
- Use these resources to test your understanding, practice your problem-solving skills, and prepare for interviews.
- Descriptive Statistics
- Inferential Statistics
- Probability Distributions
- Hypothesis Testing
- Regression Analysis
- Bayesian Statistics
- and more...
Feel free to suggest additional topics or contribute your own questions and answers.
Your contributions are welcome! If you have additional questions, answers, or want to suggest improvements, follow these steps:
- Fork the repository.
- Add your questions and answers or make changes to existing ones.
- Submit a pull request.
Please adhere to the contributing guidelines for a smooth collaboration.
This repository and its contents are open-sourced under the MIT License. Feel free to use, modify, and distribute these resources in accordance with the terms specified in the license.
Happy interviewing and best of luck on your statistical journey!
I’m a seasoned Data Scientist and founder of TowardsMachineLearning.Org. I've worked on various Machine Learning, NLP, and cutting-edge deep learning frameworks to solve numerous business problems.