Data Analyst Roadmap for 0-2 Years Experience (No AI Hype)
techTFQ
JOIN My Live SQL Bootcamp: https://sqlnest.com/bootcamp/Live_SQL_Bootcamp_Beginner_to_Advanced
???? Want real, hands-on SQL practice instead of just watching tutorials? That's exactly what SQLNest is built for - structured courses, real interview-style problems, and case studies you can turn into portfolio projects. ???? https://sqlnest.com/
If you're trying to land your first data job, switching into tech from a completely different field, or restarting your career after a break - this is the roadmap I'd actually give you, not the generic advice everyone else is repeating.
Two things this video does differently: I'm not telling you to learn AI first (and I explain exactly why that's the wrong priority right now), and instead of pointing you to the same overused public dataset every other roadmap uses, I show you a method for building a portfolio project around a real problem you've actually lived.
⏱️ Timestamps
00:00 Intro
00:20 Prerequisites
00:38 The Mindset
01:13 Why Data Analyst
01:59 AI Question
02:57 PATH 1 - Bare Minimum
03:20 Bare minimum: SQL
04:19 Bare minimum: Excel
04:41 Bare minimum: One BI tool
05:17 Bare minimum: Basic statistics
05:42 PATH 2 - The Add-on layer...
???? Want real, hands-on SQL practice instead of just watching tutorials? That's exactly what SQLNest is built for - structured courses, real interview-style problems, and case studies you can turn into portfolio projects. ???? https://sqlnest.com/
If you're trying to land your first data job, switching into tech from a completely different field, or restarting your career after a break - this is the roadmap I'd actually give you, not the generic advice everyone else is repeating.
Two things this video does differently: I'm not telling you to learn AI first (and I explain exactly why that's the wrong priority right now), and instead of pointing you to the same overused public dataset every other roadmap uses, I show you a method for building a portfolio project around a real problem you've actually lived.
⏱️ Timestamps
00:00 Intro
00:20 Prerequisites
00:38 The Mindset
01:13 Why Data Analyst
01:59 AI Question
02:57 PATH 1 - Bare Minimum
03:20 Bare minimum: SQL
04:19 Bare minimum: Excel
04:41 Bare minimum: One BI tool
05:17 Bare minimum: Basic statistics
05:42 PATH 2 - The Add-on layer...
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