📊 Data Analysis with Python

Perform data analysis using Python libraries.

🧾 Course Description:
Use Pandas, NumPy, and Matplotlib/Seaborn to clean, process, and visualize datasets.

👤 Who is this for:
Aspirants of data science and analytics roles.

🎯 Target Audience:
Junior analysts, students of data science, and career changers.

🔑 Pre-requisites:
Python Basics; familiarity with Excel or other data tools helpful.

🎯 Learning Outcomes:

• Load and clean datasets using Pandas.
  
• Perform statistical analysis.
  
• Create meaningful plots with Seaborn.
• Apply real-world datasets in projects.