Month 1 — Daily Schedule:
7:00 AM — Wake up, exercise (30 min)
8:00 AM — Review goals for the day
9:00 AM — Deep work (3 hours)
   - Week 1: Python syntax, loops, functions
   - Week 2: Pandas Series and DataFrame
   - Week 3: Data cleaning and manipulation
   - Week 4: Data visualization basics
12:00 PM — Lunch break
1:00 PM — Practice exercises (Kaggle, Codewars)
2:00 PM — Deep work (2 hours)
5:00 PM — Review progress, plan tomorrow
6:00 PM — Exercise, rest
8:00 PM — Read documentation (30 min)
10:00 PM — Wind down

Week 1 Review:
□ Do I understand Python variables and data types?
□ Can I write loops and functions?
□ Have I completed 10 basic exercises?

Week 2 Review:
□ Do I understand Pandas Series and DataFrame?
□ Can I load a CSV file?
□ Have I explored a dataset?

Week 3 Review:
□ Can I filter and sort data?
□ Can I group and aggregate data?
□ Have I merged two datasets?

Week 4 Review:
□ Can I create basic plots?
□ Can I compute summary statistics?
□ Have I created a simple data report?

Month 2 — Daily Schedule:
7:00 AM — Wake up, exercise (30 min)
8:00 AM — Review goals for the day
9:00 AM — Deep work (3 hours)
   - Week 5: Advanced Pandas (pivot, time series)
   - Week 6: Project 1
   - Week 7: Project 2
   - Week 8: Portfolio creation
12:00 PM — Lunch break
1:00 PM — Practice (Kaggle, real datasets)
2:00 PM — Deep work (2 hours)
5:00 PM — Review progress, plan tomorrow
6:00 PM — Exercise, rest
8:00 PM — Read documentation (30 min)
10:00 PM — Wind down

Week 5 Review:
□ Have I completed advanced Pandas exercises?
□ Can I use pivot tables and multi-index?
□ Have I worked with time series data?

Week 6 Review:
□ Is Project 1 complete?
□ Is it documented with problem, solution, results?
□ Is it on GitHub?

Week 7 Review:
□ Is Project 2 complete?
□ Is it different from Project 1?
□ Is it on GitHub?

Week 8 Review:
□ Is my GitHub organized?
□ Have I created a portfolio page?
□ Are my projects well-documented?

Month 3 — Daily Schedule:
7:00 AM — Wake up, exercise (30 min)
8:00 AM — Review goals for the day
9:00 AM — Deep work (3 hours)
   - Week 9: API basics and Postman
   - Week 10: API testing and collections
   - Week 11: Python + Postman integration
   - Week 12: Final project
12:00 PM — Lunch break
1:00 PM — Practice API calls and testing
2:00 PM — Deep work (2 hours)
5:00 PM — Review progress, plan tomorrow
6:00 PM — Exercise, rest
8:00 PM — Read API documentation (30 min)
10:00 PM — Wind down

Week 9 Review:
□ Do I understand HTTP methods and status codes?
□ Have I made API requests in Postman?
□ Do I know how to use headers and parameters?

Week 10 Review:
□ Can I write tests in Postman?
□ Have I used collections and environments?
□ Have I run a full test collection?

Week 11 Review:
□ Can I make API requests with Python?
□ Have I loaded API data into Pandas?
□ Have I built a small integration script?

Week 12 Review:
□ Have I built a project combining Pandas and Postman?
□ Is it documented?
□ Is it on GitHub?

Daily Tracker:
Date: _________
☐ Morning routine completed
☐ Deep work session 1 (3 hours)
☐ Deep work session 2 (2 hours)
☐ Practice exercises completed
☐ API practice (Postman) completed
☐ Exercise completed
☐ Reviewed progress
☐ Planned tomorrow

Today's Accomplishments:
1. 
2. 
3. 

Tomorrow's Priorities:
1. 
2. 
3. 

Weekly Tracker:
Week: _____ (Month 1 / 2 / 3)

Goals for this week:
1. 
2. 
3. 

Daily Progress:
Mon: ☐☐☐
Tue: ☐☐☐
Wed: ☐☐☐
Thu: ☐☐☐
Fri: ☐☐☐
Sat: ☐☐☐
Sun: ☐☐☐

Weekly Wins:
1. 
2. 
3. 

Challenges & Solutions:
1. 
2. 

Next Week's Goals:
1. 
2. 
3. 

Monthly Tracker:
Month: _____ (1 / 2 / 3)

Monthly Goal:
_______________________________________________

Week 1 Progress: ☐☐☐
Week 2 Progress: ☐☐☐
Week 3 Progress: ☐☐☐
Week 4 Progress: ☐☐☐

Monthly Wins:
1. 
2. 
3. 

Skills Gained:
1. 
2. 
3. 

Portfolio Items:
1. 
2. 
3. 

API Requests Made: _____
Postman Tests Written: _____
Pandas Projects Built: _____

Next Month's Goal:
_______________________________________________