Python for Data Science: Foundations

Write and execute basic Python programs using variables, data types, and operators.

Implement program flow control using conditional statements (if, elif, else) and loops (for, while).

Define and use functions with parameters and return values to create modular code.

Work with Python's core data structures: lists, tuples, sets, and dictionaries.

Read from and write to text files, and handle runtime errors using try-except blocks.

Import and use standard library modules like math and random.

Perform array and matrix operations using the NumPy library.

Load, manipulate, and analyze data using the Pandas library's Series and DataFrame objects.