Data Analytics

Data Analytics Structure
Data analytics is the process of analyzing, interpreting, and deriving actionable insights from data sets. It involves applying various techniques and methodologies to uncover patterns, trends, correlations, and other valuable information that can inform decision-making and drive business outcomes. Data Processing: Once collected, the data undergoes processing to clean, transform, and prepare it for analysis. This step involves removing inconsistencies, missing values, and outliers, as well as formatting the data into a suitable structure for analysis. The processed data is then analyzed using various statistical, mathematical, and computational techniques. This includes descriptive analytics to summarize and visualize data, diagnostic analytics to understand relationships and causality, predictive analytics to forecast future outcomes, and prescriptive analytics to recommend actions based on insights.

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