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Here’s a brief difference between Data Science and Data Analytics: Data Science Focus: Broader scope — involves data collection, cleaning, modeling, and prediction. Goal: To build predictive models and uncover patterns using advanced algorithms. Techniques: Machine Learning, AI, Deep Learning. Tools: Python, R, TensorFlow, Scikit-learn, etc ...
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