Nowadays if anybody is attending data science or data analyst interview , it is obvious to face some questions related to statistics. In this blog I wrote python code with key notes related to descriptive statistics.
Introduction: To learn about data science or machine learning , it is basic necessity to know about statistics. Nowadays if anybody is attending data science or data analyst interview , it is obvious to face some questions related to statistics. If someone is new to data science world, it is very difficult for him/her to relate statistical application using python code. In this blog I wrote python code with key notes related to descriptive statistics. What is Statistics? To know about , we first know about to term . Population and Sample. Population is total data set collected for analysis , denoted as N. Sample is subset of population, denoted as n. Statistics is mathematical analysis and representation about this sample data. Parameter is the mathematical representation of population data. For example, one company wants to conduct a survey on employee satisfaction for the entire company. You were tasked with contacting your project members about their opinion and then submitting them to the HR manager. Is it population or sample data? What should be the name of this presented value? Answer: It is Sample data and presented value is called Statistics. Because you took only one project members’ data which is a small part of whole company data.
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