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[**A1: Introduction to Data Science and Machine Learning**](mlpaths/A1_Intro_to_DataScience_and_ML.md)
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<div class="grid" markdown>
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<div class="grid cards" markdown>
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:fa-solid fa-chart-column: __A1: Data Science and Machine Learning__
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- :fa-solid fa-chart-column:{ .lg .middle } __A1: Data Science and Machine Learning__
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[**Introduction to Data Science and Machine Learning**](mlpaths/A1_Intro_to_DataScience_and_ML.md).
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Data Science is an interdisciplinary field focused on extracting knowledge and insights from data. Machine Learning (ML), a key component of Artificial Intelligence (AI), enables systems to learn from data to make decisions or predictions.
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{ .card }
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:fa-brands fa-python: __A2: Python for Data Science__
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[:octicons-arrow-right-24: Introduction to Data Science and Machine Learning](#)
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- :fa-brands fa-python:{ .lg .middle } __A2: Python for Data Science__
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**Python's** simplicity, versatility, and vast ecosystem of specialized libraries have made it the cornerstone of modern data science.
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[:octicons-arrow-right-24: B](#)
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:fa-solid fa-scale-balanced: __A3: Ethical Considerations in Data Science__
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**Ethics**
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{ .card }
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[:octicons-arrow-right-24: C](#)
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> :fa-solid fa-chart-line: __A4: Statistical Learning and Regression Models__
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**Statistics**
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[:octicons-arrow-right-24: D](#)
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</div>
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