The four types of data analytics are Descriptive, Diagnostic, Predictive, and Prescriptive analytics. Descriptive analytics summarizes historical data to understand changes over time, providing insights into what has happened. Diagnostic analytics delves deeper into finding the reasons behind past outcomes, answering why something occurred.
Predictive analytics uses statistical models and machine learning techniques to forecast future events based on historical data. Prescriptive analytics goes a step further by recommending actions to achieve desired outcomes. Mastering these analytics types is crucial for any data analyst. Enrolling in a comprehensive data analyst course can equip you with these essential skills for a successful career in data analytics.
The four types of data analytics
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Descriptive Analytics: Analyzes historical data to understand what has happened in the past. It provides insights through reports and visualizations.
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Diagnostic Analytics: Identifies the cause of past events by analyzing historical data, helping to understand why something occurred.
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Predictive Analytics: Uses statistical models and machine learning to forecast future outcomes based on historical data and trends.
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Prescriptive Analytics: Recommends actions based on data analysis, suggesting possible outcomes and optimizing decisions to achieve the best result.
These analytics types help organizations make informed decisions.
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