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Today we are talking about types of data analytics

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There are 4 types: Descriptive Analysis: Finding Loss and Margins, Diagnostic analysis: Finding a problem, Predictive analysis: Forecasting the future, and Prescriptive analysis: Analyzing speed and functions throughout a program. :)

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There are three main types of data analytics: descriptive analytics, predictive analytics, and prescriptive analytics. These involve examining data to gain insights, making predictions, and providing recommendations for action.
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Yes, there are three types of data analytics: descriptive analytics, which focuses on summarizing and interpreting historical data; predictive analytics, which uses statistical models and machines learning algorithms to forecast future trends and outcomes; and prescriptive analytics, which leverages optimization algorithms and decision-making tools to suggest actions and strategies to improve business performance.
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Yes, there are several types of data analytics:

1. Descriptive Analytics: Examines historical data to understand past events and patterns.

2. Diagnostic Analytics: Focuses on identifying reasons and causes for past outcomes and events.

3. Predictive Analytics: Uses historical data and statistical modeling techniques to forecast future outcomes and trends.

4. Prescriptive Analytics: Provides recommendations and optimal actions based on predictive models and business objectives.

5. Exploratory Analytics: Explores data to discover hidden patterns, relationships, and insights.

6. Text Analytics: Extracts and analyzes information from unstructured text data, such as customer reviews or social media posts.

7. Real-time Analytics: Analyzes data in real-time to provide immediate insights and facilitate real-time decision-making.

These types of data analytics are used in various fields and industries to extract value and gain insights from data.
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