Data analysis involves various approaches and techniques to derive meaningful insights from data. Some common approaches to data analysis include:

1. Descriptive Analysis: This approach focuses on describing the basic features of the data and gaining initial insights into the dataset's characteristics.

2. Diagnostic Analysis: This approach aims to identify the causes of observed phenomena by analyzing historical data and determining why something happened.

3. Predictive Analysis: This approach involves using statistical algorithms and machine learning techniques to forecast future trends and behaviors based on historical data.

4. Prescriptive Analysis: This approach goes beyond predicting future outcomes and recommends actions to achieve desired outcomes.

5. Exploratory Data Analysis (EDA): EDA involves generating summaries and visualizations of the main characteristics of the data to better understand its structure.

6. Inferential Analysis: This approach is used to make inferences or predictions about a population based on a sample of data.

Each approach has its own set of methods and techniques, and the choice of approach depends on the specific objectives of the analysis and the nature of the data being analyzed.

Sources

Top 4 Data Analysis Techniques That Create Business Value - Maryville OnlineWhat is data analysis? Methods, techniques, types & how-to - DatapineThe 7 Most Useful Data Analysis Methods and Techniques - CareerFoundryData Analytics: The Four Approaches to Analyzing Data and How To Use Them Effectively

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