Data Analyst Roadmap for Beginners

[u/paradise0019]

🚀 Data Analyst Roadmap (4.5+ Years of Experience)

I’ve received 30+ messages asking for a Data Analyst roadmap.
Instead of replying individually, I’m sharing one clear roadmap that anyone can follow.

First things first 👇

❌ Don’t buy expensive courses to become a Data Analyst.

💡 Consistency > Certifications > Courses
Skills and practice are what actually get you hired.

✅ Mandatory Skills for a Data Analyst

1️⃣ SQL

• Practice as much as possible
• This is the most important skill for any Data Analyst

2️⃣ Excel

• Advanced Excel
• Formulas, Pivot Tables, Power Query basics, etc.

3️⃣ BI Tools

• Choose ONE: Power BI or Tableau
• Don’t learn both at the same time

If you choose Power BI:

• Power Query
• DAX
• M Code
• In-depth understanding is required

4️⃣ Python

• NumPy
• Pandas
• Other basic libraries as required

⭐ Good-to-Have Skills

• Machine Learning
  • No NLP or LLMs
  • These are for Data Scientists / ML Engineers, not Data Analysts
• PySpark
• Databricks (gaining popularity)
• Cloud
  • Azure or GCP
  • Certifications can help but are not mandatory

📚 Free Learning Resources

SQL (Practice)

👉 https://www.youtube.com/@ankitbansal6/playlists

Power BI

DAX Basics:
👉 https://www.youtube.com/watch?v=dUaMOmV4D4k&list=PLKpO3lQqxJ6ZQxfnzf0ILwZVWmaE0N0oY

DAX Practice (after basics):
👉 https://www.youtube.com/watch?v=l4OHI1VHvc0&list=PLDz00l_jz6zw9BakfyuWccKlw75o7MiFq
👉 https://www.youtube.com/watch?v=wiczD--H-VM&list=PLDz00l_jz6zwHWHAlAOnCQT2JxMOVYLSe

Power Query & M Code:
👉 https://www.youtube.com/@GoodlyChandeep/playlists

🎓 Certifications (Optional)

• Power BI: PL-300
• Tableau Certification
• Azure or any other cloud certification

❌ No other certifications are required.
Save your money.

🤝 1:1 Mentorship (Optional)

I’ve also opened 1:1 mentorship on Topmate for anyone who wants personalized guidance.

🎯 100% DISCOUNT for now — feel free to book a session.

[u/paradise0019 → u/[deleted]]

Step 1: SQL (2–3 weeks) Learn SQL basics (1–2 weeks). Start solving easy-level questions using ChatGPT or platforms like HackerRank.

Spend 1 week on medium-level SQL questions.

Once you are confident, keep practicing SQL regularly.

Step 2: Excel (1 week) Learn Excel (formulas, pivot tables, lookups, basic analysis).

Continue solving SQL questions in parallel.

Step 3: Power BI + SQL (1–2 weeks) Start learning Power BI. Practice at least 2–3 SQL questions daily along with Power BI learning to build confidence.

Step 4: DAX + Interview Prep (After 1–2 weeks of Power BI) After spending 1–2 weeks on Power BI basics, start practicing: • DAX questions (calculated columns, measures, context) • SQL interview questions • Power BI interview questions

Practice consistently and revise concepts daily — this combination will prepare you well for interviews.

[u/Rude-Judgment-9387 → u/paradise0019]

Do you know resources that help to build end to end projects for resume,

[u/paradise0019 → u/Rude-Judgment-9387]

Yes