Day 5 of learning Data Analytics: I finally stopped trying to learn everything at once
Today was probably the most valuable lesson I've learned so far.
When I first decided to get into Data Analytics, I made a huge list of things I wanted to learn:
- Excel
- SQL
- Power BI
- Python
- Statistics
- Machine Learning
- AI
I thought learning more topics faster would help me get a job sooner.
Instead, I ended up overwhelmed.
Today I came across a simple learning roadmap that actually makes sense:
Excel → SQL → Power BI → Real Projects → Portfolio → Job Applications
It sounds obvious, but I realized I was trying to skip steps instead of building a solid foundation.
So I've decided to slow down and focus on mastering one skill at a time.
My plan is:
- Finish Excel basics
- Move to SQL
- Learn Power BI
- Build 3-5 real projects
- Create a portfolio
- Start applying confidently
I'm sharing this because I know many beginners feel overwhelmed by the number of things they "should" learn.
For those already working in data analytics:
If you had to start over today, would you follow the same roadmap?
Or would you change the order?
I'd really appreciate advice from people who have already gone through this journey.