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"Data Analysis 101"

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What is Data Analysis? Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information. It helps organizations make informed decisions based on insights derived from data. Why is Data Analysis Important? In our data-driven world, effective data analysis is crucial for understanding trends, improving operations, and driving strategic decision-making. It is widely used in business, healthcare, social sciences, and more. Types of Data Analysis Descriptive Analysis: Summarizes historical data to provide insights into past events. For example, average sales figures can highlight trends. Inferential Analysis: Makes inferences about a population based on sample data. It helps in hypothesis testing and predicting future trends. Predictive Analysis: Uses statistical models and machine learning techniques to forecast outcomes. For instance, it can predict customer behavior based on past purchases. Prescriptive Analysis: Recommends actions base...