What is computational statistics and data analysis

What is the purpose of statistics in data analysis?
The goal of statistical analysis is to identify trends.
A retail business, for example, might use statistical analysis to find patterns in unstructured and semi-structured customer data that can be used to create a more positive customer experience and increase sales..
Broadly, while data analytics observes trends and patterns in data, Statistics validates those theories using scientific processes.

Aims & Scope Computational Statistics and Data Analysis (CSDA), an Official Publication of the network Computational and Methodological Statistics (

Computational Statistics and Data Analysis (CSDA), an Official Publication of the network Computational and Methodological Statistics (CMStatistics) and of the International Association for Statistical Computing (IASC), is an international journal dedicated to the dissemination of methodological research and

Computational statistics is a rapidly evolving field that has revolutionized the way we analyze and interpret data. It combines statistical theory with computational methods to tackle complex problems and extract valuable insights from vast amounts of data.

It integrates statistical theory, probability theory, and numerical algorithms to develop efficient computational methods for data analysis. The field encompasses various subfields such as statistical modelling, hypothesis testing, data visualization, machine learning, and optimization techniques.

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What is computational statistics and data analysis

What is the purpose of statistics in data analysis?