Data analysis
is the act of transforming data with the aim of extracting useful information and facilitating conclusions. Depending on the type of data and the question, this might include application of statistical methods, curve fitting, selecting or discarding certain subsets based on specific criteria, or other techniques. Data visualization is sometimes an important part of data analysis, especially in the case of explorative data analysis.
Data Analytics
perform research in machine learning and data mining to discover scalable computational methods for finding useful models from massive amounts of data. These models can be used in a variety of tasks, including clustering/discovery, regression/prediction, and classification/ranking.
SO
Data Analytics building predictive models and discovering patterns from data.
While
Data Analysis Convert Data Into Intelligence and Build Better Customer Relationships
Data analysis is the act of transforming data with the aim of extracting useful information and facilitating conclusions. Depending on the type of data and the question, this might include application of statistical methods, curve fitting, selecting or discarding certain subsets based on specific criteria, or other techniques. Data visualization is sometimes an important part of data analysis, especially in the case of explorative data analysis. Data Analytics perform research in machine learning and data mining to discover scalable computational methods for finding useful models from massive amounts of data. These models can be used in a variety of tasks, including clustering/discovery, regression/prediction, and classification/ranking. SO Data Analytics building predictive models and discovering patterns from data. While Data Analysis Convert Data Into Intelligence and Build Better Customer Relationships
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