Python for Data Science and AI

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About

Course #4 in the IBM Data Science Professional Certificate .

Highlights

• Built a foundational understanding of Python programming, including basic syntax, data types, expressions, variables, and string operations.
• Applied Python programming logic using data structures, conditions and branching, loops, functions, exception handling, objects, and classes.
• Gained proficiency in using Python libraries such as Pandas and Numpy, and developed code using Jupyter Notebooks.
• Accessed and extracted web-based data by working with REST APIs using requests and performing web scraping with BeautifulSoup.