Essential Data Analytics Skills Every Commerce Student Should Learn

Data is no longer for tech companies. Now banks, retail brands, consulting firms, startups and even accounting firms use data to make decisions. For commerce students this change has created career opportunities.

If you are studying BCom or MCom and wondering if analytics is for you the answer is yes. Your knowledge of finance, economics, business and accounting is a starting point. What you need now are the skills, in data analytics to go with that knowledge.

Lets look at the skills commerce students should learn and how to get started with data analytics.

Businesses are changing the way they make decisions. They are moving away from making decisions based on intuition. Now they are using data to make decisions. Data is really important when it comes to things like looking at how money the business made each quarter. Data is also important when it comes to trying to figure out what customers will do It helps when it comes to reducing the costs of running the business. Data is, at the center of all these things.

Here is how data analytics affects the parts of commerce:

For students who are studying commerce learning business analytics is a way to make themselves more attractive to potential employers. Business analytics for commerce students is really important. When commerce students learn business analytics they become more valuable to companies. Companies now like to hire people who can understand statements and also make sense of the data trends that are behind the financial statements. This is because business analytics, for commerce students helps them to do their job.

If you want to work in data analytics after completing your BCom or MCom you will need to build technical competencies skills. These skills are not too hard to learn if you take it one step at a time.

Excel is still one of the most important analytics tools for commerce students.

Focus on:

• Pivot Tables
• VLOOKUP/XLOOKUP
• IF formulas
• Financial modeling basics
• Data cleaning techniques

A lot of jobs that people start out with like analyst roles still use Excel a lot. Many analyst roles still rely heavily on Excel.

You don’t need to become a mathematician, but you must understand basic statistics.

Key concepts include:

• Mean, median, standard deviation
• Correlation and regression
• Probability basics
• Hypothesis testing

Statistics helps you interpret data logically rather than just presenting numbers.

Structured Query Language or SQL, for short is really important when you are working with databases.

With SQL, you can:

• Extract data from large datasets
• Filter and sort records
• Perform aggregations
• Generate business reports

Most companies use databases to store their data knowing SQL is a very useful skill that can help you get a job.

Numbers by themselves do not tell us much. We need visualisation tools to turn data into to-understand dashboards and reports.

Popular tools:

• Power BI
• Tableau
• Google Data Studio

These visualisation tools are very common, in business intelligence and reporting jobs.

Python has become a leading language in analytics.

Commerce students should learn:

• Python basics
• Pandas for data manipulation
• NumPy for numerical analysis
• Basic data visualisation libraries

Even beginner-level Python knowledge significantly boosts employability.

Knowing a lot about Technical knowledge is not enough. Students who study commerce already know about business and how it works. Analytics helps make their understanding of business better.

Here’s a comparison:

You must learn to ask the right questions:

• Why did sales drop?
• What factors influence profit margins?
• Which customer segment is most profitable?

Analytics is really about finding answers to problems that businesses have it is not, about making reports.

Learn how companies track:

• KPIs (Key Performance Indicators)
• Performance dashboards
• Revenue metrics
• Cost efficiency

It connects the data to the decisions made by executives.

When you have a commerce background and combine it with analytics it becomes very powerful.

You can:

• Forecast budgets
• Analyze profitability
• Study market trends
• Evaluate investment risks

Finance and consulting roles really value this combination.

Technical tools are important, but soft skills determine long-term success.

You must be able to:

• Explain insights in simple terms
• Present findings to non-technical teams
• Create clear reports

If you can’t communicate insights clearly, even the best analysis loses impact.

Analytics demands accuracy.

Important soft skills include:

• Logical reasoning
• Data validation
• Ethical handling of data
• Curious to explore patterns
• Time management

Small errors in data interpretation can lead to major business losses.

The scope of data analytics in commerce is expanding rapidly.

Here are common roles:

• Data Analyst
• Business Analyst
• Financial Analyst
• Market Research Analyst
• Risk Analyst

A lot of institutions are now aligning commerce education together. Many MCom Colleges in Pune are adding classes about analytics and business intelligence to what they teach. They are doing this because companies really want people who know about these things. The MCom Colleges in Pune want to make sure the people who graduate from them can do the jobs that're available.

You do not need to know a lot about computer science to get started. You can. Build your skills in computer science a little at a time.

Step-by-Step Approach

1. Master Excel and basic statistics
2. Learn SQL fundamentals
3. Explore Power BI or Tableau
4. Start basic Python
5. Work on real-world datasets
6. Build a small project portfolio

You can also:

• Enroll in online certifications (Google Data Analytics, Coursera, Udemy)
• Apply for internships in finance or analytics firms
• Participate in case study competitions

Practical exposure by doing things is more important, than just reading about computer science.

The digital economy is getting bigger all the time. Every time someone buys something every time a customer interaction to a company every time a business does something it makes data.

Industries that hire people who studied commerce and know about analytics include:

• Banking and fintech
• E-commerce
• Consulting firms
• Retail chains
• Investment firms

As computers and artificial intelligence start to do more things on their own people who can understand and use the information they get from data will still be needed. The digital economy will keep growing. People who can work with data will be, in demand. The commerce graduates with analytics skills will have jobs to choose from because the digital economy and data are very important.

For commerce students planning to combine business knowledge with data analytics skills, choosing the right university can play a significant role in shaping their career path. Promilo’s university search app helps aspirants explore universities offering B.Com and M.Com programs that integrate analytics, finance, and business intelligence learning.