Question 6At what stage would you correct invalid values and address outliers?1 pointThe Modeling stageThe Data Requirements stageThe Data Preparation stageThe Data Understanding stage

Question 1What are the requirements in order for data to be reliable? (Select all that apply) 1 pointData should be relevant Data should be free of all errors  Data should be easy to collect  Data should be structured

Correcting inconsistencies across data is an example of which of the following?Question 7Answera.Obtaining the datab.Validating the data for integrityc.Validating the data for completenessd.Cleaning the data

Which of the following is not one of the four main questions to consider when creating your data scale and increments?Question 4Answera.How much data should be displayed in the visualization?b.What scale should be used to display the data?c.Should outliers be displayed?d.Which colors should be displayed?

Select the answer that describes why Business Understanding is an important stage in the data science methodology.1 pointThis stage generates the data that will be used in the study.The analytical approach you want to use determines which tasks happen during this stage.This stage clearly defines the problem and the needs from a business perspective.This stage ensures that the work generates all possible solutions.

Question 1Fill in the blank: The first stage of the data science methodology is ___________________.1 pointModelingData CollectionBusiness UnderstandingData Understandin