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: Excel formulas and pivot tables
   - Week 2: SQL queries
   - Week 3: Statistics basics
   - Week 4: Data cleaning
12:00 PM — Lunch break
1:00 PM — Practice exercises (Excel, SQL)
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 Excel formulas?
□ Can I build a pivot table?
□ Have I created a dashboard?

Week 2 Review:
□ Can I write SELECT, JOIN, GROUP BY?
□ Can I write subqueries?
□ Have I written 20 SQL queries?

Week 3 Review:
□ Do I understand mean, median, variance?
□ Can I interpret a distribution?
□ Have I analyzed a real dataset?

Week 4 Review:
□ Can I handle missing values?
□ Can I spot outliers?
□ Have I cleaned a messy dataset?

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: Python basics
   - Week 6: Pandas fundamentals
   - Week 7: Pandas advanced
   - Week 8: Project 1
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:
□ Do I understand Python syntax?
□ Can I write loops and functions?
□ Have I written 10 scripts?

Week 6 Review:
□ Can I load a dataset with Pandas?
□ Can I filter and sort data?
□ Have I explored a real dataset?

Week 7 Review:
□ Can I group and aggregate data?
□ Can I merge two datasets?
□ Have I used pivot tables?

Week 8 Review:
□ Is Project 1 complete?
□ Is it documented?
□ Is it on GitHub?

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: Data visualization
   - Week 10: Project 2
   - Week 11: Interview prep
   - Week 12: Applications & research
12:00 PM — Lunch break
1:00 PM — Networking & follow-ups
2:00 PM — Deep work (2 hours)
5:00 PM — Review progress, plan tomorrow
6:00 PM — Exercise, rest
8:00 PM — Interview prep (30 min)
10:00 PM — Wind down

Week 9 Review:
□ Can I create charts with Matplotlib?
□ Can I build a dashboard?
□ Do I understand data storytelling?

Week 10 Review:
□ Is Project 2 complete?
□ Does it include visualization?
□ Is it on GitHub?

Week 11 Review:
□ Have I practiced SQL and Python?
□ Have I done mock interviews?
□ Have I studied case studies?

Week 12 Review:
□ Have I sent 25 quality applications?
□ Have I researched target companies?
□ Have I followed up?

Daily Tracker:
Date: _________
☐ Morning routine completed
☐ Deep work session 1 (3 hours)
☐ Deep work session 2 (2 hours)
☐ Practice exercises completed
☐ Project work 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. 

Applications Sent: _____
Interviews: _____
Offers: _____

Next Month's Goal:
_______________________________________________