Data Analysis with Python

Description

This course teaches the basics of data analysis using Python, with a strong focus on practical skills. You will learn how to work with real-world datasets using key libraries like NumPy, Pandas, Matplotlib, and Seaborn. The course guides you through loading, cleaning, manipulating, and visualizing data—essential steps in any data analysis workflow.

Key Topics Covered:

• Python basics for data handling

• NumPy for numerical operations

• Pandas for data manipulation and cleaning

• Matplotlib and Seaborn for data visualization

• Grouping and aggregating data

• Working with real-world CSV files

• Basic exploratory data analysis (EDA)