Data analysis is a systematic process of inspecting, cleaning, transforming, and modeling data to uncover useful information, draw conclusions, and support decision-making. It involves a range of techniques and tools to identify patterns, trends, and relationships within data sets. The process begins with data collection, followed by data cleaning to remove inaccuracies and inconsistencies. After cleaning, the data is transformed into a format suitable for analysis. Various analytical techniques, such as statistical analysis, machine learning, and data visualization, are then applied to interpret the data and extract meaningful insights. The results of data analysis are often used to inform business strategies, improve processes, and predict future trends, making it an essential component in various fields, including business, healthcare, and social sciences.