CS420 – Data Science

This course provides an introduction to data science concepts, including data processing, analysis, visualization, and machine learning. Students learn to use Python and tools like Pandas, Matplotlib, and Scikit-learn to explore real-world datasets and extract actionable insights.

• Data cleaning and preprocessing techniques

• Statistical analysis and hypothesis testing

• Exploratory Data Analysis (EDA)

• Supervised and unsupervised machine learning

• Model evaluation and deployment basics

• Python libraries like NumPy, Pandas, Seaborn

• Jupyter Notebook usage for projects

• Working on real-world datasets

• Project-based learning and reporting