Mastering Data Science Interview Questions: Your Comprehensive Guide to Success

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A comprehensive guide for Data Science Interview questions

Do you want to crack Data Science Job Interviews ? I will list out frequently asked questions to help you crack Data Science Jobs

1. Can you tell me how to deal with outliers in datasets?

Outliers are datapoints which are uncommon in datasets. i.e. in given data points (1,2,3,4,5,19999,2), 199999 is outlier.

How to deal with outliers ??

• Removing outliers: Delete data points beyond a certain threshold.
• Transformations: Apply mathematical transformations like log or square root to make data less sensitive to outliers.
• Imputation: Replace outliers with more typical values (e.g., median imputation).
• Binning: Group outliers into a separate category.
• Robust statistics: Use robust measures like the median and interquartile range that are less affected by outliers.

2. What is ANOVA test?

ANOVA (Analysis of Variance) is a statistical test used to analyze the differences among group means in a sample.