Explain what resampling methods are and why they’re useful

Data Science, AI and ML
#1

Being able to give specific and practical examples of how you might analyze data will be an integral part of the interview for a data analyst position. Be sure to study up on various methods of data collection and their advantages and disadvantages:

“Resampling is used in statistics and can refer to a variety of different methods for validating models by using random subsets, estimating the precision of sample statistics, or exchanging labels on data points when performing significance tests. Resampling is useful to test hypotheses and build confidence intervals when analyzing data.”