A comprehensive beginner course covering Python fundamentals for data science. Covers Anaconda installation, Jupyter Notebook interface, Python basics including variables, strings, lists, and dictionaries. Introduces essential data science libraries like Pandas and NumPy, along with data visualization, cleaning techniques, and machine learning concepts. Includes hands-on exercises and four practical projects to reinforce learning.
•17h 3m watch time
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