Rutgers University 1 credit Management
This course offers a introduction to Python programming, with touch on its powerful libraries, NumPy and Pandas. You'll start by learning the basics of Python, including variables, loops, and functions, before moving on to more advanced top-ics like data manipulation and analysis. Through hands-on examples, youβll explore how NumPy can be used for numeri-cal computing and how Pandas simplifies working with data structures like Series and DataFrames. Additionally, we'll bake in AI tools to help you verify coding structures, ensuring you develop clean, efficient code. By the end of the course, you'll have the skills to efficiently handle and analyze data, making you well-equipped for roles in data science and related fields.
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