Data Cleaning identifying and correcting errors, such as missing values, duplicates, and outliers, to make data reliable and consistent , data transformation techniques like normalization and encoding are applied to standardize the dataData visualisation transforming complex data sets into visual representations like charts, graphs, and maps. making it easier to spot patterns, trends, and outliers. By using tools such as bar charts, line graphs, pie charts, and scatter plots, enables quick insights and informed decision-making .CollaboraIon with Teams:Working closely with business stakeholders, management, and other departments to understand their data needs and deliver acIonable insights.