Introduction to Data Science

The course teaches critical concepts and skills in computer programming and data analysis in conjunction with hands-on analysis of real-world datasets. The student develops practical skills through computer labs and practical programming tasks in the project. The course covers the following topics:

• Basics of programming in Python, including variables, types, input/output, conditional statements, repetitive statements, functions, data structures such as lists.
• Data manipulation and processing using Python libraries such as Pandas.
• Data visualization using Python libraries such as Seaborn.
• Data analysis including classification, regression, clustering, and anomaly detection, using libraries such as scikit-learn.