Programming with Python: Introduction to Python, data types, file operations, object oriented programming. Programming with R: Introduction to R, string operations, data visualization.

Course Outcomes (COs):

CO1: Develop proficiency in Python programming, with a focus on data modeling tasks.

CO2: Acquire skills in GPU programming, enabling efficient parallel processing for machine learning tasks.

CO3: Enhance understanding of fundamental data modeling concepts and techniques through hands-on Python programming exercises.