Excel vs Python vs SQL — Which Should You Learn First in 2026?
The honest answer from Prashant Shukla — Data Analyst with 10+ years of experience using all three at work
This is the question I get every single week from students who are starting their data analytics journey. And I understand the confusion — every YouTube video and blog post has a different opinion.
I use Excel, SQL, and Python at work every day. Here is my honest take — based on actual job descriptions I have seen and students I have placed.
The Short Answer
Learn them in this order: Excel → SQL → Python
Excel gets you interview-ready fastest. SQL makes you 40% more hireable. Python opens the highest-paying doors. But you need all three for a complete data analyst profile.
Side-by-Side Comparison
| Criteria | Excel | SQL | Python |
|---|---|---|---|
| Ease of Learning | ⭐⭐⭐⭐⭐ Very Easy | ⭐⭐⭐⭐ Easy | ⭐⭐⭐ Medium |
| Jobs Requiring It | 90% of analytics jobs | 85% of analytics jobs | 60% of analytics jobs |
| Avg Salary Boost | Baseline | +20–30% | +40–60% |
| Time to Learn | 3–4 weeks | 4–6 weeks | 8–12 weeks |
| Best For | Reports, dashboards, MIS | Database queries, BI tools | Automation, ML, large data |
| Works With | Power BI, Power Query | MySQL, SQL Server, BigQuery | Pandas, Matplotlib, Scikit |
| Used At Companies | Every company | Every data-driven company | MNCs, startups, tech firms |
Why Learn Excel First?
I know Excel sounds boring. But here is the reality: 9 out of 10 data analyst job descriptions in Noida and Delhi NCR still list Excel as a required skill — even in 2026.
Advanced Excel (pivot tables, VLOOKUP, dashboards, Power Query) can get you a ₹3.5–5 LPA job within 30–45 days of learning it. No other skill has that return-on-time ratio.
Start with Excel. Build a dashboard. Put it on your LinkedIn. You will be surprised how quickly recruiters reach out.
Why SQL is the Most Valuable Skill Per Hour Invested
Every data job eventually involves a database. Whether you work at a startup, an MNC, or a consulting firm — someone will ask you to "pull this data from the database." SQL is how you do that.
SQL also directly feeds into Power BI, Tableau, and almost every BI tool. Learning SQL makes you 30–40% more effective with every other analytics tool.
In interviews, SQL is tested more frequently than any other skill. 85% of data analyst technical interviews include a SQL question.
Why Python Pays More — But is Not Where You Should Start
Python opens the door to higher salaries — ₹8–15 LPA and above — because it allows you to work with large datasets, build automation scripts, and eventually move into machine learning and AI roles.
But Python has a steeper learning curve. If you start here, you will spend 2–3 months learning programming concepts before you can do anything useful with data. That is 2–3 months you could have spent getting your first job with Excel and SQL.
Learn Python after you have a job — or in parallel in your 4th month of training. Use it to differentiate yourself from other analysts.
What About Power BI and Tableau?
Power BI is now more in-demand than Tableau for most corporate jobs in India. Learn Power BI alongside SQL (month 2–3). It is easier than people think — especially if you already know Excel. Tableau is less common in Indian job postings unless you are targeting BFSI or US-facing companies.
My Recommended Learning Order for 2026
Learn All 4 Skills in 4 Months at EVIKA Academy
Excel + SQL + Power BI + Python — taught by working data analysts. Noida Sector 51 + Online.
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