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The course introduces students to the discipline of data science that systematically extracts knowledge from large amounts of data using scientific methods, algorithms, processes, and systems. Students get an overview of the data science activities organized into a pipeline, starting from data collection, preparation, and cleaning, continuing with statistical data analysis, and finishing with communication and visualization of results to the relevant stakeholders. For each activity, students learn its drivers, challenges, and major implementation techniques and tools.