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Data Collection in Data Science is the process of gathering the data you need to answer questions or analyze and draw conclusions from trends. This could include gathering data from websites, surveys and other sources. Feature engineering is the process of creating meaningful variables called “features” that will be used to identify patterns in your data and make predictions. This involves transforming and combining original features into new features that are more useful for your analysis.