Python for Data Science

Gained hands-on experience in using Python for data analysis, visualization, and machine learning. Covered essential libraries like NumPy, Pandas, Matplotlib, and Scikit-learn to manipulate data, build models, and draw insights from real-world datasets. Developed a strong foundation in data wrangling, exploratory analysis, and predictive modeling using Python’s data science ecosystem.