#Basic data science internship question free#

I found it motivating to solve those puzzles and change things for the better. At the same time, I grew up on computers, playing games and playing with code. I’ve always wanted to make a career of working with them because they helped me make sense out of the world. “When I was four, I got my first calculator-and I’ve loved numbers ever since. And remember: Authenticity and enthusiasm go a long way! In your response, discuss why you were drawn to data science in the first place and what drives you day-to-day, as well as why you’re interested in this role in particular. When an interviewer asks this behavioral interview question, they’re trying to find out what makes you tick-and whether their company will be a motivating environment for you. Now, I’m very excited to bring my analytical and creative skills to your company.” I just finished Signal and Noise by Nate Silver. When I’m not working, I like to make data visualizations based on recent news and trends. I worked with large amounts of data to ensure that all transportation arrived on time and in a cost-efficient way. Last summer, I interned with a logistics company and had the opportunity to use my skills to solve real-world problems. “I just graduated from XYZ College, with a dual degree in statistics and computer science.

#Basic data science internship question free#

Keep your answer short and sweet, and feel free to throw in any particularly memorable hobbies or talents that might set you apart from the crowd. Focus on your relevant skills and accomplishments, as well as any unique qualifications you bring to the position. The interviewer wants to get to know you, with a focus on how you’ll create value for their business. This first interview question is many interviewers’ go-to for a reason, so be prepared by reviewing our “Tell me about yourself” interview guide. What are the assumptions required for linear regression?.What is selection bias, why is it important, and how can you avoid it?.

Explain resampling methods and why they’re useful.

Which data scientists do you admire most and why?.

What would previous coworkers and managers say about you?.Tell me about the hurdles or obstacles you’ve overcome?.What can you bring to this role that other applicants cannot?.