Öğrenme Çıktıları / Özgü Ölçüt Matrisi
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| Understand and explain the fundamental concepts and processes in Data Science, including data acquisition, cleaning, processing, and management. |
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| Apply basic statistical and machine learning techniques to analyze and interpret data. |
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| Utilize tools and techniques for data visualization and communication of results. |
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| Design and implement data science workflows, including the iterative cycle of problem-solving in data science projects. |
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| Demonstrate an understanding of data privacy, security, and ethical considerations in the context of Data Science. |
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| Know data types and can classify data in real problems by using various analytical methods. |
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Katkı Düzeyi : (1) Çok Düşük, (2) Düşük, (3) Orta, (4) Yüksek, (5) Çok Yüksek