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Master data science fundamentals, essential tools, ethics, and tackle real-world projects.
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Follow the complete data science pipeline, from forming questions to drawing insights, and build a standout portfolio project.
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Uncover insights from structured and unstructured data with techniques like pattern discovery and clustering.
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Dive into machine learning essentials: prediction, classification, clustering, and adaptive systems.
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Build a solid foundation in data science and machine learning with core concepts and hands-on Python skills.
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Learn powerful data visualization techniques to improve understanding, communication, and decision-making.
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Connect model-based and data-oriented analysis to drive process improvements with process mining.