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General Introduction to Data ScienceOffers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.
Functions in PythonIntroduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.
Python Programming BasicsCovers the basics of Python programming, focusing on flow control structures, interactive mode, script mode, and variables.
Scientific Computing EssentialsCovers algorithmic thinking, Python programming, numerical methods, and essential computing concepts for scientific computing.