Introduction To Statistics and Its Applications in Data Analytics and Artificial Intelligence

Abstract

Statistics is a field of study that deals with the collection, analysis, interpretation, and presentation of data. It is used to make inferences about populations based on samples, to test hypotheses, and to develop models. Applications of statistics in data analytics: Data analytics is the process of using data to extract insights and make better decisions. Statistics is a key tool in data analytics, and it is used for a variety of tasks, such as: Data cleaning: This is the process of removing errors and inconsistencies from data. Data exploration: This is the process of understanding the data by summarizing it and looking for patterns. Data modeling: This is the process of building models that can be used to predict future outcomes. Data visualization: This is the process of displaying data in a way that is easy to understand. Applications of statistics in artificial intelligence: Artificial intelligence (AI) is a field of computer science that deals with the creation of intelligent agents, which are systems that can reason, learn, and act autonomously. Statistics is a key tool in AI, and it is used for a variety of tasks, such as: Machine learning.