Data Analytics is the science of examining raw data to uncover meaningful patterns, trends, and insights. In today’s digital world, organizations generate massive amounts of data from various sources such as websites, applications, transactions, and social media. To make sense of this information, Data Analytics plays a crucial role. It transforms unstructured data into valuable knowledge that supports smarter decision-making.

The process of Data Analytics typically begins with data collection from multiple sources. Once collected, the data often contains errors, missing values, or duplicates, so it must go through data cleaning to ensure accuracy and reliability. After that, analysts use statistical methods, algorithms, and tools to perform the analysis, identifying key patterns and relationships within the data. Finally, findings are presented using data visualization techniques like charts, dashboards, and graphs, making them easier to understand for decision-makers.