Python vs Old Tools What Changed for Digital Marketers

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, lists, dicts
   - Week 2: Files and CSVs
   - Week 3: APIs and JSON
   - Week 4: First mini report
12:00 PM — Lunch break
1:00 PM — Practice with small marketing datasets
2:00 PM — Deep work (2 hours)
5:00 PM — Review progress, plan tomorrow
6:00 PM — Exercise, rest
8:00 PM — Read Python docs (30 min)
10:00 PM — Wind down

Week 1 Review:
□ Can I write Python loops?
□ Do I understand lists and dicts?
□ Have I run a script?

Week 2 Review:
□ Can I read a CSV?
□ Do I handle missing values?
□ Have I loaded campaign data?

Week 3 Review:
□ Can I call an API?
□ Do I parse JSON?
□ Have I stored the result?

Week 4 Review:
□ Can I combine CSV and API data?
□ Can I print a summary?
□ Is the report readable?

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: Pandas basics
   - Week 6: Group and aggregate
   - Week 7: Visualise trends
   - Week 8: Full campaign report
12:00 PM — Lunch break
1:00 PM — Practice with real campaign data
2:00 PM — Deep work (2 hours)
5:00 PM — Review progress, plan tomorrow
6:00 PM — Exercise, rest
8:00 PM — Read Pandas docs (30 min)
10:00 PM — Wind down

Week 5 Review:
□ Can I load data into a DataFrame?
□ Can I filter and sort?
□ Do I understand column selection?

Week 6 Review:
□ Can I group by channel?
□ Can I compute CTR and ROAS?
□ Is the summary clear?

Week 7 Review:
□ Do I have charts?
□ Do they show a trend or comparison?
□ Is the story clear?

Week 8 Review:
□ Is the report ready?
□ Does it show insights?
□ Are next steps obvious?

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: Automate reports
   - Week 10: Portfolio and resume
   - Week 11: Applications and networking
   - Week 12: Interviews and follow-ups
12:00 PM — Lunch break
1:00 PM — Networking and 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 practice (30 min)
10:00 PM — Wind down

Week 9 Review:
□ Is my report automated?
□ Does it refresh with new data?
□ Is it documented?

Week 10 Review:
□ Is my repo documented?
□ Are scripts listed?
□ Is my resume updated?

Week 11 Review:
□ Have I sent 25+ quality applications?
□ Are they tailored?
□ Have I networked?

Week 12 Review:
□ Have I practised Python questions?
□ Have I practised analytics questions?
□ Have I evaluated offers?

Daily Tracker:
Date: _________
☐ Morning routine completed
☐ Deep work session 1 (3 hours)
☐ Deep work session 2 (2 hours)
☐ Python practice completed
☐ Networking completed
☐ Interview prep 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. 

Python Skills Gained:
1. 
2. 
3. 

Portfolio Items:
1. 
2. 
3. 

Applications Sent: _____
Interviews: _____
Offers: _____

Next Month's Goal:
_______________________________________________