Data Analytics refers to the process of examining, cleaning, transforming, and interpreting data to uncover useful information, patterns, and trends. It helps organizations make data-driven decisions by turning raw data into meaningful insights using tools like Excel, SQL, Power BI, and Python.
Data Analytics bridges the gap between data collection and strategic action, making it essential for improving business performance, forecasting trends, and solving complex problems across industries such as finance, marketing, healthcare, and operations.