📊 Complete Python & Data Analysis

Build a strong foundation in Python programming and perform data cleaning, exploration, and visualization using Pandas, NumPy, and Seaborn with real-world datasets.

🧾 Course Description:
Build a strong foundation in Python and perform data analysis using real datasets with Pandas, NumPy, and Seaborn.

👤 Who is this for:
Beginners, career switchers, and aspiring data analysts.

🎯 Target Audience:
Students of data science, junior analysts, engineers entering analytics.

🔑 Pre-requisites:
No prior Python needed. Familiarity with Excel or any data format is helpful.

🎓 Learning Outcomes:

• Write Python code using core programming concepts
• Manipulate and clean data using Pandas
• Visualize data using Matplotlib and Seaborn
• Perform exploratory data analysis (EDA)
• Complete projects with real-world datasets

🧰 Tools Covered:
Python, Jupyter Notebook, Pandas, NumPy, Matplotlib, Seaborn

📦 Includes:
Python Beginner, Python Advanced, Data Analysis Projects, Mini-Projects

⏳ Duration:
7–9 weeks (self-paced)

🎯 Outcome:
Analyze real datasets with Python and become job-ready in data roles.