Data Cleaning: Ensuring data accuracy by removing errors and inconsistencies.

Data Exploration: Investigating data patterns and trends to gain insights.

Data Visualization: Creating charts and graphs to make data more understandable.

Descriptive Analysis: Summarizing data to provide a clear overview.

Data Reporting: Communicating findings and insights to stakeholders.

Data Mining: Extracting valuable information from large datasets.

Business Intelligence: Providing actionable insights to support decision-making.

Data Quality Assurance: Ensuring data is reliable and accurate.

Data Interpretation: Explaining the significance of data in a business context.