Theories

• My panda Notes from github
• Roadmap
• Theory concepts to cover
• What is pandas?
• Importance of pandas for Data Analysis
• Series
• Data Frame
• Process of data collecting and cleaning (basic)
• iloc vs loc
• Element-wise and broadcasting
• axis=1, axis=0
• Hands-on: Perform operations on sample datasets (e.g., weather, sales data).
• Hands-on: Manipulate a dataset (e.g., movie ratings).
• Mini Project
• catogary datatype
• Outliers
• Hands-on: Clean and preprocess a messy dataset (e.g., healthcare data).
• Hands-on: Group and aggregate data (e.g., group sales by region).
• Hands-on: Combine multiple datasets (e.g., orders and customer data).