How do you handle outliers in data analysis? | Data Analyst Interview Questions and Answers

preview_player
Показать описание
Welcome to VirtBI Projects, your go-to destination for all things SQL, BI, Data Science, Big Data, Data Analysis, Data Analytics, Business Intelligence, Reports, ETL, and Programming Languages and Tools!

In this video, we will be covering most common interview questions and answers of a Data Analyst Job Role.

Question: How do you handle outliers in data analysis?
Sample Answer: Outliers are extreme values that deviate significantly from the majority of the data points. When dealing with outliers, I first assess their nature and potential causes. Depending on the scenario,
I may choose to remove the outliers if they are erroneous or use statistical techniques such as Winsorization or trimming to reduce their impact on the analysis.

Thanks for Watching!

Whether you're a beginner or an expert, our channel is here to provide you with valuable insights, tutorials, and tips to excel in the world of data-driven decision-making. Get ready to embark on a journey of learning, problem-solving, and unleashing your data prowess. Subscribe now and join our vibrant community of data enthusiasts. Let's dive into the exciting realm of VirtBI Projects together!
Рекомендации по теме
welcome to shbcf.ru