Part 1: Foundations

1. Chapter 1: What pandas Is
2. Chapter 2: Installing and Importing pandas
3. Chapter 3: Series
4. Chapter 4: DataFrames
5. Chapter 5: Creating a DataFrame
6. Chapter 6: Reading CSV Files
7. Chapter 7: Reading JSON Data
8. Chapter 8: Writing CSV Files
9. Chapter 9: Inspecting Data with head and tail
10. Chapter 10: DataFrame Shape and Columns

Part 2: Core Operations

1. Chapter 11: Data Types
2. Chapter 12: Selecting One Column
3. Chapter 13: Selecting Multiple Columns
4. Chapter 14: Selecting Rows with loc
5. Chapter 15: Selecting Rows with iloc
6. Chapter 16: Filtering Rows
7. Chapter 17: Multiple Conditions
8. Chapter 18: Sorting Rows
9. Chapter 19: Renaming Columns
10. Chapter 20: Dropping Columns

Part 3: Data Analysis

1. Chapter 21: Adding Columns
2. Chapter 22: Changing Values
3. Chapter 23: Missing Values
4. Chapter 24: Detecting Missing Values
5. Chapter 25: Filling Missing Values
6. Chapter 26: Dropping Missing Values
7. Chapter 27: Duplicate Rows
8. Chapter 28: Removing Duplicates
9. Chapter 29: Type Conversion
10. Chapter 30: String Cleaning

Part 4: Advanced Techniques

1. Chapter 31: String Methods
2. Chapter 32: Date and Time Conversion
3. Chapter 33: Extracting Date Parts
4. Chapter 34: Replacing Values
5. Chapter 35: Mapping Categories
6. Chapter 36: Apply Concepts
7. Chapter 37: GroupBy
8. Chapter 38: GroupBy Aggregations
9. Chapter 39: Pivot Tables
10. Chapter 40: Value Counts

Part 5: AI Workflows

1. Chapter 41: Merging DataFrames
2. Chapter 42: Joining DataFrames
3. Chapter 43: Concatenating DataFrames
4. Chapter 44: Index Basics
5. Chapter 45: Resetting the Index
6. Chapter 46: Setting an Index
7. Chapter 47: MultiIndex Concepts
8. Chapter 48: Reshaping with melt
9. Chapter 49: Reshaping with pivot
10. Chapter 50: Binning Values

Part 6: Projects and Review

1. Chapter 51: Rolling Calculations
2. Chapter 52: Lag Features with shift
3. Chapter 53: Categorical Data
4. Chapter 54: One-Hot Encoding Concepts
5. Chapter 55: Data Validation
6. Chapter 56: Data Leakage Checks
7. Chapter 57: Mini Project: Customer Data Cleaner
8. Chapter 58: Mini Project: Sales Analysis
9. Chapter 59: Mini Project: Training Dataset Builder
10. Chapter 60: Capstone: AI Data Preparation Pipeline