<ul><li>Data Collection: Gathering data from various sources, including databases, web services, and user-generated content.</li><li>Data Preparation: Cleaning, organizing, and standardizing the collected data for analysis.</li><li>Data Exploration: Using visualization tools to understand the dataset's structure, identify patterns, and detect anomalies.</li><li>Data Modeling: Creating statistical and machine learning models to analyze the data and make predictions.</li></ul>

The Data Science Lifecycle: From Data Collection to Insights

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