Data Analytics in 2026: Why Excel and Power BI Are Your Best Friends

By Expert Faculty May 2026 6 min read
Data Analytics in 2026: Why Excel and Power BI Are Your Best Friends

We are generating more data today than at any other point in human history. Every click, purchase, and swipe is recorded. However, raw data is useless to a CEO or Business Owner. They need someone to clean that data, analyze it, and present it in a way that helps them make critical business decisions. Enter the Data Analyst.

The Myth About Data Analytics

There is a massive misconception that you must be a Python coding expert or a mathematical genius to enter the field of Data Analytics. While programming is helpful for advanced Machine Learning, the vast majority of corporate data analysis is done using two fundamental tools: Microsoft Excel and Microsoft Power BI.

The Power of Advanced Excel

Excel is the undisputed king of corporate software. However, we are not talking about basic data entry. Advanced Excel involves:

  • Power Query: Automating the extraction and cleaning of messy data from multiple sources.
  • Pivot Tables: Rapidly summarizing hundreds of thousands of rows of data to find trends.
  • Complex Formulas: Utilizing advanced logical and lookup functions (XLOOKUP, INDEX/MATCH) to connect datasets.

Taking it to the Next Level with Power BI

When Excel reaches its visual limits, Power BI takes over. Microsoft Power BI is a Business Intelligence tool that allows you to connect to almost any data source and create stunning, interactive, real-time dashboards.

Instead of sending a static spreadsheet to your manager, you send them a secure link to a Power BI dashboard where they can click on different cities, products, or timeframes, and watch the charts update instantly. It is the ultimate tool for corporate presentations and boardroom meetings.

Career Prospects in Ahmedabad

Every industry—finance, healthcare, retail, and manufacturing—requires Data Analysts. By mastering Advanced Excel and Power BI, you position yourself as an invaluable asset to any management team.

At Samarth Computer Education, our dedicated Data Analytics tracks focus heavily on these two powerhouse tools, providing you with real-world corporate datasets to practice on and build your analytical portfolio.

Frequently Asked Questions

Which should I learn first for data analytics jobs: Excel or Power BI?
You should learn Advanced Excel first. Excel teaches essential data formatting, pivot tables, VLOOKUP/XLOOKUP, and logical functions. Once comfortable, learning Power BI allows you to handle massive datasets, DAX formulas, and dynamic interactive executive dashboards.
What is the salary for a Power BI and Excel Analyst in Ahmedabad?
Freshers skilled in Advanced Excel and Power BI earn between ₹3 LPA and ₹5.5 LPA in Ahmedabad. Business intelligence analysts with 2+ years of experience earn ₹6 LPA to ₹10 LPA across pharmaceutical, manufacturing, and IT companies in Gujarat.
Can commerce and non-engineering graduates become Data Analysts?
Yes, B.Com, BBA, and economics graduates are natural fits for data analytics because they understand business metrics, revenue, cost calculations, and inventory numbers. Combining business knowledge with Power BI makes them highly employable.
What is covered in Samarth's Data Analytics Masterclass?
The course covers Advanced Excel (Macros, Power Query, XLOOKUP), Microsoft Power BI (DAX, dashboard design, automated data refreshes), SQL database querying, and business reporting through real industry case studies.
How long does it take to learn Power BI and Advanced Excel?
It takes 2 to 3 months of hands-on practice. Samarth Computer Education provides lab-based training in Chandkheda with weekend and evening batches suitable for college students and working professionals.

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