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**Subtopics**:
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- Definition and scope of data science: [Lies, Damned Lies, and Data Science](https://beabytes.com/data-science-lies/). Béatrice Moissinac.
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- Definition and scope of data science: [Lies, Damned Lies, and Data Science](https://beabytes.com/data-science-lies/). Béatrice Moissinac.
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- Overview of machine learning algorithms (regression, classification, clustering): [Introduction to Machine Learning](https://developers.google.com/machine-learning/intro-to-ml). Developers Google.
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- Applications of data science in various industries (e.g., healthcare, finance, marketing): [Data Science Applications Across 10 Different Industries](https://csweb.rice.edu/academics/graduate-programs/online-mds/blog/data-science-industry-applications). Rice University.
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- Ethical considerations in data science: [A Guide for Ethical Data Science](https://rss.org.uk/RSS/media/News-and-publications/Publications/Reports%20and%20guides/A-Guide-for-Ethical-Data-Science-Final-Oct-2019.pdf). Royal Statistical Society.
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- [General Data Science Learning Resources](https://github.com/ua-data7/LearningResources/wiki/General-Data-Science)
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#### 2. Python for Data Science
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??? note "Topic description"

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