Statistics

Explain the methods you have used to detect outliers in your previous projects?

Data Scientist

Square

Microsoft

Tokopedia

Cohesity

Broadcom

Paytm

Did you come across this question in an interview?

Your answer

Answers

Unlock Community Insights

Contribute your knowledge to access all answers

#Give&Take - Share to unlock

Try Free AI Interview

Google logo

Google

Product Manager

Prepare for success with realistic, role-specific interview simulations.

Product Strategy
Meta logo

Meta

Product Manager

Prepare for success with realistic, role-specific interview simulations.

Product Sense
Meta logo

Meta

Engineering Manager

Prepare for success with realistic, role-specific interview simulations.

System Design
Amazon logo

Amazon

Data Scientist

Prepare for success with realistic, role-specific interview simulations.

Behavioral
  • Explain the methods you have used to detect outliers in your previous projects?
  • What techniques have you employed in the past to identify outliers in datasets?
  • Could you discuss the outlier detection methods you've utilized in earlier projects?
  • Please share the strategies you have applied to detect outliers in your data science endeavors.,
  • What methods for detecting outliers in data have you used in your previous roles?
  • Can you talk about the approaches you have taken to find outliers in datasets?
  • In your past data analysis projects, how did you go about identifying outliers?
  • Could you explain your experience with detecting outliers in datasets?
  • What outlier detection techniques have you implemented in your previous work?
  • How do you typically identify outliers in your data projects?
  • How have you approached outlier detection in your data analysis work previously?

Interview question asked to Data Scientists interviewing at Broadcom, Tokopedia, Square and others: Explain the methods you have used to detect outliers in your previous projects?.