Power BI or Docker First: What Beginners Should Pick

Power BI — Daily Schedule:
7:00 AM — Wake up, exercise (30 min)
8:00 AM — Review the day's learning goals
9:00 AM — Learn + practice (2 hours)
   - Week 1: data & Excel basics
   - Week 2: Power BI fundamentals
   - Week 3: DAX & visuals
   - Week 4: publish & project
12:00 PM — Lunch break
1:00 PM — Hands-on practice (2 hours)
3:00 PM — Mentor check-in / doubt session (30 min)
4:00 PM — Assignment work (1 hour)
5:00 PM — Review notes, plan tomorrow
6:00 PM — Break / exercise
8:00 PM — Read BI blogs (30 min)
10:00 PM — Wind down

Week 1 Review:
□ Do I understand pivot tables and data cleaning?
□ Can I prepare a clean dataset?
□ Have I cleaned 3 datasets?

Week 2 Review:
□ Can I connect data to Power BI?
□ Do I understand relationships and the data model?
□ Have I built a basic report?

Week 3 Review:
□ Can I write basic DAX measures?
□ Do I understand time intelligence?
□ Have I built a KPI dashboard?

Week 4 Review:
□ Have I published to Power BI Service?
□ Have I shared a report?
□ Is my portfolio dashboard documented?

Docker — Daily Schedule:
7:00 AM — Wake up, exercise (30 min)
8:00 AM — Review the day's learning goals
9:00 AM — Learn + practice (2 hours)
   - Week 1: Linux & CLI basics
   - Week 2: Docker fundamentals
   - Week 3: Dockerfiles & Compose
   - Week 4: Project & deploy
12:00 PM — Lunch break
1:00 PM — Hands-on practice (2 hours)
3:00 PM — Mentor check-in / doubt session (30 min)
4:00 PM — Assignment work (1 hour)
5:00 PM — Review notes, plan tomorrow
6:00 PM — Break / exercise
8:00 PM — Read Docker docs / blogs (30 min)
10:00 PM — Wind down

Week 1 Review:
□ Am I comfortable with Linux commands?
□ Do I understand file permissions?
□ Can I navigate and edit files via CLI?

Week 2 Review:
□ Do I understand images vs containers?
□ Can I run a container and map a port?
□ Do I understand volumes?

Week 3 Review:
□ Can I write a Dockerfile?
□ Have I built a custom image?
□ Have I written a docker-compose.yml?

Week 4 Review:
□ Have I pushed an image to a registry?
□ Have I deployed a containerised app?
□ Is the project documented?

Decision checklist — Power BI or Docker first?

1. Do I enjoy working with data and charts? → Power BI
2. Do I enjoy servers and the command line? → Docker
3. Do I want to become an analyst? → Power BI
4. Do I want to become a DevOps engineer? → Docker
5. Do I already know Linux? → Docker is easier
6. Do I already know Excel and SQL? → Power BI is easier
7. Which role do I want in 6 months?
   - Data Analyst / BI Developer → Power BI
   - DevOps Engineer / Platform Engineer → Docker

Final decision: ________________________

Power BI — 30-Day Starter Plan

Week 1: Data & Excel basics
☐ Pivot tables and data cleaning
☐ Understand data types
☐ Clean 3 datasets

Week 2: Power BI fundamentals
☐ Connect data to Power BI
☐ Build relationships
☐ Build a basic report

Week 3: DAX & visuals
☐ Basic DAX measures
☐ Time intelligence
☐ KPI dashboard

Week 4: Publish & project
☐ Publish to Power BI Service
☐ Share a report
☐ Portfolio-ready dashboard

Goal: 1 polished dashboard with a story

Docker — 30-Day Starter Plan

Week 1: Linux basics
☐ Shell commands
☐ File system and permissions
☐ Editing files via CLI

Week 2: Docker fundamentals
☐ Images vs containers
☐ Run containers
☐ Ports and volumes

Week 3: Dockerfiles & Compose
☐ Write a Dockerfile
☐ Build a custom image
☐ Multi-service Compose

Week 4: Project & deploy
☐ Push image to registry
☐ Deploy containerised app
☐ Documentation

Goal: 1 deployed containerised app

Decision Matrix — score each 1–5

Criteria              Power BI    Docker
Interest in data          ___         ___
Interest in infra         ___         ___
Prior Excel/SQL           ___         ___
Prior Linux               ___         ___
Target role demand        ___         ___
Time available            ___         ___
Learning curve comfort    ___         ___

Total                     ___         ___

Higher total = pick that path first.