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A course teaches how to analyze data and predict outcomes using algorithms. It covers data preparation, analysis, visualization, and machine learning basics, including supervised and unsupervised learning. Students learn through tools like Python and libraries such as Pandas and Scikit-Learn, applying concepts in real-world projects to build a foundation for advanced data science studies