Data Analysis is the process of examining, cleaning, transforming, and modeling data to extract useful information, draw conclusions, and support decision-making. It involves a wide range of techniques and tools to collect, process, and interpret data, including statistical methods, machine learning, and visualization. The goal of data analysis is to turn raw data into actionable insights that can inform business decisions, improve operations, and drive innovation. Data collection is the first step in data analysis. This involves acquiring data from various sources, such as databases, surveys, and experiments. The data can be structured or unstructured, and it can be numerical or categorical. Once the data is collected, it must be cleaned and preprocessed to ensure that it is accurate and relevant. This process involves removing outliers, filling in missing values, and transforming the data into a format that is suitable for analysis. After the data is cleaned, it can be analyz...