What Is The Difference Between Data Analysis And Data Mining?

Data analysis and data mining are closely related but serve different purposes. Data analysis focuses on examining, cleaning, and interpreting structured data to support decision-making. It involves summarizing data trends, patterns, and insights using statistical tools and visualizations. On the other hand, data mining digs deeper into large datasets to uncover hidden patterns, relationships, and predictions using algorithms and machine learning techniques. While data analysis answers “what happened,” data mining explores “what might happen” or “why it happened.” Both are essential in extracting value from data. If you want to understand both concepts practically, one can explore a data analyst course.