DATA 6003 - PROGRAMMING FOR DATA SCIENCE

This course is the second of four courses that count toward the IBM Data Science Professional Certificate. It is designed to equip learners with the foundational skills required to harness the power of Python in data science. The course covers Python basics, including data types, expressions, variables, and data structures. Students will apply Python programming logic through loops, functions, objects, and classes. Proficiency in critical Python libraries such as Pandas, Numpy, and Beautiful Soup is fostered. We delve into accessing web data using APIs and web scraping, emulating real-world data science projects. The practical side of this course entails hands-on experiences with Python data structures, data manipulation, and building an interactive dashboard using Pandas, Beautiful Soup, and Plotly in Jupyter Notebook. By the end of the course, students will be well-versed in employing Python for various data science applications.

Prerequisites & Notes
DATA 5003

Credits: 3