Employers no longer reward candidates who know a single tool. As Parul University’s Impact Training makes clear, the modern job market prefers graduates with a full data toolkit, and four tools sit at its core. Master them, and you hold a real advantage over peers who only know theory.
1. Advanced Excel: The Foundation
Excel is where every data journey begins, and it remains essential, many companies still run Excel-based assessments in recruitment, across finance, operations, marketing, HR, and analytics. But “knowing Excel” means far more than data entry. The real skills are complex formulas and shortcuts, Pivot Tables, dynamic charts, and, above all, data cleaning: taking a messy real-world file (with blanks, errors, and inconsistent formatting) and turning it into something analysable. From there, you build dashboards that surface Key Performance Indicators and write reports with actual business recommendations. In one Impact Training exercise, a student cleaned a pharmaceutical dataset, then dug past its healthy-looking sales to find a roughly 1.4 crore rupee loss hidden in product returns, the kind of insight Excel, used well, makes possible.
2. SQL: Learning Database
Learning a new tool is most important you gain from impact training. It will help you answer better during interviews. Here, once receiving the data, that in the database. You need SQL. SQL is Structured Query Language to get it out. SQL is in what manner or how big organisations store and retrieve information. It is a skill that most recruiters look for. The basis of this skill is filtering with the WHERE clause, grouping with GROUP BY and HAVING, sorting with ORDER BY, aggregate functions for sums and averages, JOINs to combine multiple tables, subqueries, and window functions for advanced analysis. A classic training exercise, joining three separate tables to answer one business question, teaches exactly how scattered information becomes a single, meaningful report. SQL turns a mountain of raw records into precise answers.
3. Power BI: Using Data For Making Decisions
Impact Training for tech and IT placements focuses on these skills.
Power BI helps to articulate that data. The data is articulated in a way that users can make decisions out of it. It is taught because it is one the most used tool today. Mainly by multinational companies. Power BI works on to import and clean data. It then builds interactive dashboards with dynamic filters, calculated measures, and custom columns. Compared with Excel, it is purpose-built for visualisation, generally easier and more powerful for interactive reports, while Excel remains the general-purpose spreadsheet.
In one Impact Training exercise, a student built a Power BI dashboard from a COVID-19 dataset of around 35,000 records, surfacing which countries were most affected and which tested most. Knowing which tool to reach for, Excel or Power BI, is itself a mark of a capable analyst.
4. Python: The Multiplier
Impact Training is helpful with learning skills in depth. These skills are required for placements. Python is one such. Interviewers look for it. It is famous, most used programming language. This tool allows you use automate repetitive tasks. Analyse data at scale, build financial models, and even work with the basics of machine learning and AI. It is helpful with going beyond spreadsheets.
Why You Need All Four
Every tool is useful for learning programming in totality. The tools are not replacements for each other. They are a process, a pipeline. SQL retrieves and stores data securely. Advanced excel gain understanding a business unit. While Power BI helps management make quick decisions.
Whereas, Python automates and analyses at a higher level. Together, they mirror how a real data workflow actually runs, which is exactly why employers increasingly want candidates fluent across all four rather than expert in just one.
How to Actually Learn Them
The single most important lesson from Impact Training is that these skills are learned by doing, not reading. Practise on real, messy datasets rather than clean textbook files; write your own queries and code and fix your own errors; and build real projects (a dashboard, a report, an analysis) that you can show an employer. Working hands-on with large, imperfect data is what builds the accuracy, speed, and confidence that interviews and jobs demand. That practical, project-based approach is the whole philosophy behind Parul University’s Impact Training
Frequently Asked Questions
What data skills do employers want from freshers?
Employers increasingly want a full data toolkit: Advanced Excel (formulas, Pivot Tables, dashboards, data cleaning), SQL (querying databases), Power BI (interactive visualisation), and Python (automation and analysis). Candidates fluent across all four have a clear advantage over those who know only one tool or only theory.
Is Excel still important for getting placed?
Yes. Excel remains essential, many companies run Excel-based assessments in recruitment, and it is used across finance, operations, marketing, HR, and analytics. But knowing Excel alone is no longer enough; employers increasingly expect SQL, Power BI, and Python alongside it.
What is the difference between Excel and Power BI?
The two are used for advanced working. Excel is general tool, a normal spreadsheet. Used for calculations, analysis and simple basic dashboards. Power BI is purpose-built for interactive data visualisation and reporting, generally easier and more powerful for building dynamic dashboards from large datasets. Knowing which to use for a given task is a mark of a skilled analyst.