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JAYou probably Googled “How to learn Data Analytics”…
And got 100 tabs open.
Courses, tools, bootcamps, blogs, YouTube videos,
each saying “Start here.”
But no one told you what not to do.
No one gave you a starter kit that actually made sense.
So I built.
And now I use this same plan to guide beginners I mentor.
Here’s the Data Analytics Starter Kit I wish everyone should have👇
1. Start with Excel
→ It’s not outdated, it’s underrated.
→ Master formulas, Pivot Tables, and charts.
2. Then SQL
→ Learn how to query real data.
→ SELECT, WHERE, GROUP BY, and JOIN. That’s 80% of your job.
3. Add one viz tool
→ Pick Tableau or Power BI.
→ Focus on storytelling, not fancy dashboards.
4. Forget 100-hour courses
Instead, build 3 small projects:
⤷ A Sales Dashboard in Excel
⤷ A Customer Retention Report in SQL
⤷ A Visual Story in Tableau
5. Use GitHub + LinkedIn
→ Document your projects.
→ Share your process.
→ Visibility builds credibility.
6. Give it 6–8 weeks
Learn 1 skill → Apply it → Move to the next.
If you're just starting out, don't chase 10 tools.
Build your foundation first.
Want my full Data Analytics Starter Kit with a roadmap, tool list, and project ideas?
Drop "Community" to join my community here.
#datavisualization #dataanalyst #datascience #data #sql #excel #python #career #careerswitch #trending #learning #interviewtips #india #metricminds
@jayenthakker
