What Are The Different Types Of Data Analysis

Summary:

The text discusses the four main categories of data analysis: descriptive, diagnostic, predictive, and prescriptive. 1, 2, 3, 4, 5, 6, 7, 8 Each type serves a different purpose in organizing, summarizing, and drawing insights from data. Descriptive analysis focuses on summarizing features of a dataset, diagnostic analysis works to identify patterns and relationships in the data, predictive analysis uses data to make future predictions, and prescriptive analysis recommends actions to be taken based on the data.

There are four main types of data analysis:

  1. Descriptive Analysis: Involves summarizing the main features of a dataset.
  2. Diagnostic Analysis: Aims to identify patterns and relationships within the data.
  3. Predictive Analysis: Focuses on making predictions about future trends based on historical data.
  4. Prescriptive Analysis: Recommends actions to be taken based on the insights derived from the data.

Each type serves a specific purpose in organizing, summarizing, and deriving insights from data.

Sources

Types of Data Analysis | Tutorial by ChartioWhat is Data Analysis?: Process, Types, Methods, and Techniques - Simplilearn.com4 Types of Data Analytics to Improve Decision-Making - HBS OnlineThe 4 Types of Data Analysis [Ultimate Guide] - CareerFoundry
The 4 Types of Data Analysis [Ultimate Guide]8 Types of Data Analysis | Northwestern Boot Camps

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