Phase 1: Coding Fundamentals (Weeks 1-8)

• Week 1: Introduction to Python, variables, and data types
• Week 2: Operators and expressions (basic math, boolean logic)
• Week 3: Control flow (if-else statements)
• Week 4: Loops (for, while)
• Week 5: Functions (writing reusable code)
• Week 6: Lists, tuples, and dictionaries (essential data structures)
• Week 7: File handling (reading/writing CSV, JSON)
• Week 8: Introduction to error handling (try-except)

Phase 2: Data Wrangling & Pandas (Weeks 9-16)

• Week 9: Introduction to Pandas (DataFrames, Series)
• Week 10: Loading and exploring datasets (CSV, Excel)
• Week 11: Data cleaning (handling missing values, duplicates)
• Week 12: Filtering and sorting data
• Week 13: Data aggregation and group operations
• Week 14: Data transformation (applying functions, reshaping data)
• Week 15: Merging and joining datasets
• Week 16: Basic data visualization with Pandas

Phase 3: SQL for Data Science (Weeks 17-23)

• Week 17: Introduction to SQL (databases, tables, SELECT queries)
• Week 18: Filtering and sorting data (WHERE, ORDER BY)
• Week 19: Aggregation (COUNT, SUM, AVG, GROUP BY)
• Week 20: Joins (INNER JOIN, LEFT JOIN)
• Week 21: Subqueries and common table expressions (CTEs)
• Week 22: Using SQL with Pandas (loading database tables into Python)
• Week 23: Writing complex queries for real-world data wrangling