If you’re a beginner trying to break into Data Analytics, here’s a simple roadmap I’d recommend:
1. Learn Excel
Start with formulas, PivotTables, charts, lookups, data cleaning and basic analysis.
2. Learn SQL
Understand SELECT, WHERE, GROUP BY, JOINs, CASE, subqueries and aggregations.
3. Learn Power BI
Learn data cleaning, data modelling, DAX and how to build useful dashboards.
4. Learn basic statistics
Understand averages, percentages, distributions, correlation and how to interpret data.
5. Build projects
Don’t just watch tutorials. Work with real datasets and solve actual business problems.
6. Learn to communicate insights
Don’t just say “sales increased by 20%.”
Explain WHY, what changed, and what the business should consider doing next.
7. Build a portfolio
Document your projects on LinkedIn/GitHub and show your process, not just the final dashboard.
8. Start applying
You don't need to know everything before applying.
And honestly, you don't need Python at the very beginning.
Get comfortable with Excel → SQL → Power BI → projects → business thinking, then add Python when you’re ready to expand your skills.
Learn → practice → build → share → apply.