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Answer» Data Analysis: It generally involves extracting, cleansing, transforming, modeling, and visualizing data in ORDER to obtain useful and important information that may contribute towards determining conclusions and deciding what to do next. Analyzing data has been in use since the 1960S.
Data Mining: In data mining, also known as knowledge discovery in the database, huge quantities of knowledge are explored and analyzed to find patterns and rules. Since the 1990s, it has been a buzzword. | Data Analysis | Data Mining |
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| Analyzing data provides insight or tests hypotheses. | A hidden pattern is identified and discovered in large datasets. | | It CONSISTS of collecting, preparing, and modeling data in order to extract meaning or insights. | This is considered as one of the activities in Data Analysis. | | Data-driven decisions can be taken using this way. | Data usability is the main objective. | | Data visualization is certainly required. | Visualization is generally not necessary. | | It is an interdisciplinary FIELD that requires knowledge of computer science, STATISTICS, mathematics, and machine learning. | Databases, machine learning, and statistics are usually combined in this field. | | Here the dataset can be large, medium, or small, and it can be structured, semi-structured, and unstructured. | In this case, datasets are typically large and structured. |
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