6/4/2023 0 Comments The basic data of science are![]() A statistical framework permits researchers to distinguish between causation and correlation, thereby identifying interventions that caused changes in the outcomes.Statistical inference states that there exists a component of randomness in data that enables the researchers to formulate questions in the underlying processes and to quantify the uncertainty in their answers.Researchers leverage data resources to extract knowledge and obtain better answers by statistically framing questions.The primary role that Statistics offers in Data Science is: It is the quantity that indexes a family of probability distributions - for instance, the mean, median of a population. Statistical Parameter: Also called a statistical model or population parameter.Variable: Any number, characteristics, or quantity that can be measured or counted and also referred to as a data item.Population: Set of sources from where data is collected. ![]() Some of the popular terminology in the field of data science is: Data scientists need Statistics for data science projects as it provides tools and methods to find structures and give more profound insights into data. There is a strong relationship between Data Science and Statistics. Data scientists must practice statistics as it is the study of collection, analysis, interpretation, presentation, and organization of data as the Wikipedia states it. The necessary foundation for machine learning algorithms involves learning maths and statistics for Data Science. What is Statistics and Why is It Needed for Data Science? Simran Kaur Arora | 07 Dec, 2022 Statistics for Data Science ![]()
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