Introduction to data science
Data science is a set of disciplines that combines statistical analysis, machine learning, and domain knowledge to extract insights and informed decisions from large complex datasets. It involves collecting, processing, and analyzing data to reveal patterns, trends, and relationships, which are predictive models that can be used to drive business decisions.
The essence of data science is the process of analyzing and pre-processing data. This involves understanding the structure and quality of the data, identifying missing values, outliers, and anomalies, and transforming the data into a format suitable for analysis to facilitate subsequent analytical procedures such as data cleaning. Feature engineering and dimensionality reduction are better and more efficient.
After pre-processing the data, data scientists use statistical and machine learning techniques to extract insights and build models. They use statistical techniques such as hypothesis testing...