Data Analytics With Python

Workflow:

1. Getting Started With Python

   • Establishing foundational knowledge in Python programming.

2. Analysis Phase - Pandas & Seaborn

   • Utilizing Pandas and Seaborn libraries for in-depth data analysis.

3. Dataset for Online Food Orders Analysis with Python

   • Selecting a suitable dataset for analyzing online food orders, ensuring relevance and richness of data.

4. Identifying Target Customers for Brand Success

   • Employing analytical insights to pinpoint target customers crucial for driving brand success.

Tools and Libraries:

• Python
• Pandas
• Seaborn
• Jupyter Notebooks
• Matplotlib

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