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Top 5 Data Analytics Courses for Commerce Students

Welcome to this article to know the Top 5 Data Analytics courses for commerce students that will give a boost to their career. In the current world, data is the new oil. Students majoring in commerce develop a stronger understanding of businesses, the economy, management, and finance, making them more desirable to employers because they have a better understanding of the obligations and functions in the industry. Analytics for learning are helpful for commerce students. Commerce students are completely aware of the financial status and operational aspects of businesses. They have an advantage over their rivals thanks to their knowledge of management and finance. After all, analytics and business development both rest on numeracy. But earning a commerce degree alone wouldn’t simply add any special skill in an individual. Since it’s an era of data now, everybody is trying to excel in this field to reach to a new height. 

Data Analytics Courses for Commerce Students

 What are Data Analytics?

Before delving into the top data analytics courses for commerce students, lets look at what data analytics actually means. Data analytics involves collecting, transforming, and organizing data for informed decision-making.

Data analytics is a business intelligence method used to solve organizational problems by identifying patterns in a dataset. It helps understand past trends and predict future behaviours, enabling informed decisions and strategies based on data analysis.

A Data analyst extracts, organizes, and analyzes raw data to transform it into intelligible information, providing suggestions for company’s next steps.

Let’s look at the four basic categories of data analysis: prescriptive, predictive, diagnostic, and descriptive.

Descriptive Analysis:

Simple, surface-level analysis techniques such as descriptive analytics focus on previous events. The two main techniques used in descriptive analytics involves data aggregation and data mining, where analysts gather, present, and mine data for patterns.

The information is then presented in a style that is accessible to a broad audience (and not just data experts). The “what” is all that has to be determined and described at this point; descriptive analytics does not attempt to explain the past data or construct cause-and-effect linkages. Descriptive analytics draws on the idea of descriptive statistics.

Prescriptive Analysis:

Prescriptive analytics provides recommendations for the decisions and activities that should be performed, building on predictive analytics

To put it another way, prescriptive analytics demonstrates how to benefit from the outcomes that have been forecasted. Data analysts will evaluate various situations and potential course of action for the business when performing prescriptive analysis.

Prescriptive analysis is one of the most challenging methods of analysis.. But a company’s ability to make decisions and, ultimately, its bottom line can be greatly impacted by the proper application of prescriptive analytics.

The kind of data you’re using will affect the kind of analysis you conduct. The four types of data measurement, namely nominal, ordinal, interval, and ratio, are important to understand if you aren’t already.

Dig in here and find the advanced courses:

Diagnostic Analytics:

Diagnostic analytics looks into the “why” whereas descriptive analytics looks into the “what” of a situation. Facts anomalies, or anything that cannot be explained by the facts in front of them, are what data analysts first look for when performing diagnostic analytics. The data analyst will need to look into the cause, for instance, if the data reveals a sharp decline in sales for the month of June.

To accomplish this, they will start what is referred to as the discovery phase, searching for any new data sources that might provide further information on how these abnormalities came to be. Last but not least, the data analyst will hunt for causal connections by, for instance, examining any occurrences that may coincide or correspond with the drop in sales. Probability theory, regression analysis, filtering, and time-series data analytics are all possibilities at this point which a data analyst may use.

Predictive Analytics:

As the name implies, predictive analytics aims to predict how events are likely to unfold. This is when data analysts start to provide insightful, data-driven knowledge that the company may use to direct its subsequent activities.

Although it can never be totally precise, predictive analytics reduces the amount of uncertainty in making important business decisions by estimating the possibility of a future occurrence based on previous data and probability theory.

From predicting which goods will be the most popular at a given time to predicting how much a company’s income will rise or fall over a set timeframe, predictive analytics may be used to predict a wide range of outcomes. To improve a company’s chances of “hitting the mark” and taking the optimum course of action, predictive analytics is ultimately used.

So, after thoroughly researching the definition of data analytics, the questions of whether commerce students can take data analytics courses, why such courses are crucial for commerce students, and how to become a data scientist after earning a B. Com degree arise. Or can a student of commerce find employment in an IT firm?

Here are a few answers to some of the many issues that have been raised about this industry.

Students who want to pursue a thorough study of business topics can enroll in the three-year Bachelor of Commerce (B. Com) degree. It is among the most popular graduate programs chosen by students in India. The varied skills needed for a corporate career are made clear to students. 

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Data Science is a realistic option for students who want to enroll in non-commerce courses for their higher education even though it may not be particularly popular. Students that pursue data science courses after earning a B. Com degree are qualified, skilled, and deserving of a high-paying career. It consists of resources such as Excel and data analysis software, etc.

After earning a B. Com degree, students gain knowledge in a variety of areas, including mathematics, business acumen, tools, machine techniques, and algorithms in data analytics. Deciphering the data’s hidden patterns and insights is a data scientist’s main responsibility. Important business choices are made using the decoded information in addition.

Higher possibilities of employment. Jobs may be hard to come by for students with simply a B. Com degree, but there are plenty of options for data science majors. As a result, if you pursue data analytics after earning a B. Com, your chances of finding a high-paying career will be higher. As a result, data analysis abilities are highly sought after in the finance field by professionals. Therefore, by enhancing their employability and decision-making abilities, graduates in commerce can improve their employment prospects by earning a second certification in data analytics.

Bachelor of Commerce degrees can be combined with courses and boot camps to make them valuable enough to land a job even though they don’t automatically grant access to a career in data science.

At its foundation, analytics is all about analyzing data to find solutions to issues. It’s always a good idea to push your mind to think analytically and come up with new ideas in both your professional and personal life. The act of gathering and studying vast amounts of data is known as data analytics. To enhance the online shopping experience and boost sales, data analytics is used in e-commerce enterprises to gather information about customer behavior and website performance. Data Analytics even boost your problem-solving skills.

In the area of online consumer behavior, the process of obtaining and analyzing metrics is extremely useful. The data aids eCommerce businesses in maintaining a competitive edge in their specialized marketplaces. On the other hand, it works well for commerce graduates who desire to advance in this profession.

As a result, the discipline of finance places a great emphasis on data analytic skills. Therefore, commerce graduates can increase their work prospects by improving their employability and decision-making skills.

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Roles of Commerce-based Professional in Data Science:

Data science involves quantitatively converting market data into implementable reports and solutions, with numbers playing a crucial role. Commerce graduates possess valuable skills in this field.

For one or more business choices, reliable calculations must be made using the data at hand. Therefore, a professional with a degree in commerce brings to data science a thorough awareness of the markets and profits together with expertise of algebra, probability, and statistics.

The sector may truly benefit from the background of the commerce graduates, who can put their academic learning to good use. The commerce students are particularly good with numbers. They have little trouble working with numbers, and they have excellent data interpretation skills. As a result, graduates in commerce can benefit from their diverse skill sets in the field of data science. They merely have to improve their skills and lay a strong foundation in data science to continue advancing their graph. After completing their 12th year of commerce, students have a variety of opportunities to advance their education by enrolling in data science courses. One should strive to enroll in one of the top 5 data analytics courses for commerce students listed below to achieve the best results and advance in this sector.

Scope of Data Analytics:

Governmental and commercial organizations can gather data and identify patterns using data analytics. These comprehensive data insights help businesses make data-based decisions, which automates the procedure. It is one of the terms that is now causing the most attention. The expansion of the data analytics sector is directly related to the increase in internet usage, which has increased internet penetration from 20% to 41%.  

India’s data analytics sector is projected to be a key player in the development of industry 4.0, as well as to significantly increase job possibilities and elevate living standards. Future paradigm shifts will result from this industry’s disruption. 

The market for data analytics and data analytics bootcamps is enormous and is expected to continue expanding. As long as it continues to expand at a steady rate, it is anticipated to reach US$11.87 billion by 2026. This sector will cause a significant shift in the market and create a number of new work possibilities.

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Given that data analysts will be among the professions with the highest demand in 2020 and beyond, we might expect to see an increase in this figure. It makes sense that a future position will involve data. Data analysts are anticipated to be in great demand in 2020 and beyond because data is the future of work.

This article is a quintessential guide of the top 5 Data Analytics Courses for Commerce Students that will aid in your complete understanding of the subject. All newcomers who enjoy tinkering with data and wish to follow a fascinating career should be prepared for this learning curve.The list of the aforementioned courses is as follows:


IIM SKILLS is one of the top providers of online financial and other streams courses for commerce students interested in data analytics. They have developed a wide variety of skills. It is a top-tier provider of Data Analytics Master Courses. After completing the course, a student will be perfectly prepared to join a major corporation because it has been constructed in the best possible way and is entirely practical oriented.  

Course Modules:

Module NameImportant Topic
Module 1: Basic and Advance Excel
Introduction to Data Handling
Data Manipulation Using Functions
Data Analysis and Reporting
Data Visualization in Excel
Overview of Dashboards
Module 2: Visual Basic Application
Introducing VBA
How VBA Works with Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions & Procedures in VBA
Objects & Memory Management in VBA
Error Handling
Controlling Accessibility of Your Code
Communicating with Your Users
Module 3: SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
Accessing Data from Multiple Tables Using SELECT
Optimizing Your Work
Module 3.1: SQL Server Reporting Services
Basics of SSRS
Creating Parameters
Understanding Visualization
Creating Visualization Using SSRS
Module 3.2: SQL Server Integration Services
Understanding Basics of SSIS
Understanding Packages
Creating Packages to Integrate
Creating Project Using SSIS
Module 4: Power BI
Data Preparation and Modeling
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI)
Module 5: Data Analytics Using Python
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics & Data Science
Python Essentials (Core)
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
Data Analysis Using Python
Data Visualization with Python
Statistical Methods & Hypothesis Testing
Module 6: Tableau
Getting Started
Data Handling & Summaries
Reports Development (Visuals in Tableau)
Module 7: R For Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Using R with Databases
Data Visualization with R
Introduction to Statistics
Linear Regression: Solving Regression Problems
Module 8: Alteryx
Overview of the Alteryx Course and Fundamental Concepts
Using the Select Tool to Rename Fields, Change the Data Type
Understanding the User Environment and Alteryx Settings
Filtering Data/Data Processing
Blending/Joining Data from Different Sources
Data Cleansing
Impute Values
Random Sample

Course NameData Analytics Course

The training lasts for six months, and an additional two months are available for an optional, unpaid internship program.

INR 49900 in fees plus 18% in taxes.

The cost of the exam and certification is included in the course fee.

The Reasons IIM SKILLS is the Best Option:

  • IIM SKILLS has a flexible timetable, so you can take classes on the weekends or throughout the week depending on your availability without having to sacrifice your career or personal obligations.
  • The course is entirely practical and skill-based.
  • Since every course is offered online, learning flexibility is provided.
  • Master certification and a 2-month guaranteed internship for professional experience.
  • If after your first session you are not satisfied with the training, you will receive a 100% refund.
  • 24/7 assistance and career counseling.
  • Lifetime access to the regularly updated learning resources.

Contact Details for More Information:

+919580740740, [email protected]

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Professional Courses from IIM SKILLS

#2. Inventateq

InventaTeq is one of the top providers of corporate training courses. Being in the training industry for more than ten years, they are a reputable firm with a goal to consistently provide just excellence, and achieve this by offering training and consulting services that are:

  • Exceptionally of highest quality
  • Customized training modules that fit your project’s or your client’s demands
  • Highly versatile and economical
  • High cost-effective and adaptable
  • Delivered by CERTIFIED Trainers & Consultants, each with over ten years of experience
  • Courses are taught by experienced instructors who are professionals and have advanced degrees in their fields.

Duration: 2- 3 months

This institute is considered to be one amongst the best in data analytics courses for commerce students containing actual training with hands-on practice as mentioned in the top-tier magazines.

They offer modern methodologies, customized training, and cutting-edge approaches with the certainty of information that the knowledge will be correct and timely and that perfection is ensured for all requirements. 

Their training options include live instructor-led online classes, offline classes at INVENTATEQ branches, and client office sessions.

Their course modules include Python, R programming, SAS, AI, machine learning, neural networks, deep learning, tensor flow, and probability and statistics. They have Industry-driven curriculum includes live machine interaction, real-world projects, case studies, and unlimited access to study materials.

The Institute’s training methodology includes theory, practical, assessments, certification, resume preparation, and industry interviews.

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# 3. Imarticus learning:

This job-guarantee program prepares recent graduates and professionals for a successful data science and analytics career, focusing on real-world applications and building analytical models for improved business outcomes. The program guarantees job placement in 500+ top-tier organizations hiring machine learning and AI professionals.

Upon enrollment students acquire expertise in data science, Python, SQL, analytics, and tableau. 

The Imarticus learning acts as one of the best data analytics courses for commerce students as it provides live instructional module to prepare for a variety of data science professions. Their knowledgeable faculty uses an interactive module and hands-on training techniques to teach this comprehensive program.

This institute provides more than 25 real-world projects and case studies by industry experts preparing job-ready individuals. Their dedicated career services include resume development, profile enhancement, mentorship, interview preparation, and one-on-one counseling. They also help to participate in coding hackathons to tackle complex business problems and compete in national-level competitions.

When students complete the program they earn a Postgraduate Data Science and Analytics certificate.

The key topics covered in the curriculum are SQL, Probability and Statistics, Data Science with Python and R, Big Data Hadoop & Spark, and Data Visualization with Tableau & Power BI.

The data analytics course will offer industry connections, career services, and instruction that is supported by technology. Additionally, it includes case studies that are specific to the industry, real business challenges for effective learning, and business difficulties from many industries as a way to provide students additional skills.

Duration: 24 weeks

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# 4. IIM Lucknow:

Data science has established itself in the current business landscape as a prerequisite for creating effective data-driven decisions and perceptive business strategies across industries and enterprises. IIM Lucknow’s Executive Programme in Data Science offers a cutting-edge curriculum with a focus on the methods and tools for handling, managing, analyzing, and understanding data.

This institute provides 9 months training including a 3 day on-campus immersion and Emeritus Career Services.

People receive training and hands-on experience in how to use data to make wise business decisions. IIM Lucknow’s academics and business experts’ opinions will help them acquire a global perspective, which is why it is regarded as one of the best data analytics courses for commerce students. They also enhance their careers with useful case studies, a project, and tools that employ Excel.

You can connect with successful peers and broaden your professional network.

Key takeaways from the Program:

  • Management proficiency with data science and machine learning tools and methods
  • The ability to make data-driven decisions in real time for everyday organizational decisions
  • To make smart and successful business decisions, one must be familiar with the statistical ideas.
  • Knowledge of how to use machine learning techniques
  • The abilities and information needed to lead the data science and analytics teams at your organization
  • Comprehension of data structure and data analysis in depth

Programme Fee: INR 2,10,843+ GST

Duration    : 9 months ( 3 Hours per week) 

Participants must register for IIM Lucknow Executive Alumni Status after completing the program, which includes:

  • receiving program brochures, newsletters, souvenirs,
  • lifelong access to distinguished alumni,
  • Making use of the campus library at IIM Lucknow; 
  • 10% discount on additional programs, 
  • 10% group discount.

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# 5. Simplilearn:

This Data analytics course in partnership with IBM helps you to become data analyst expert. The course is recognized as one of the best in data analytics courses for commerce students since it teaches students how to use SQL databases, R, and Python, create data visualizations, and use statistics and predictive analytics in the workplace of a corporate setting. For this Data Analytics certification, IBM professionals’ Masterclasses are additionally offered.

The course module includes 

  • Business Analytics with Excel
  • SQL
  • Python Data Analytics and Basic Programming
  • R Programming for Data Science
  • Data Analytics with R
  • Tableau Training
  • Data Analyst Masters Capstone
  • Master’s Certificate

With the help of this collaboration between Simplilearn and IBM, students will learn how to use a blended learning strategy that is integrated and comprehensive, becoming specialists in data analysis. Students will have the necessary skills to compete for top data analyst positions as a result of this IBM-sponsored Data Analytics certification program. It also offers employment preparation that will help you land a job and become work-ready.

Microsoft Excel, NumPy, Pandas, SciPy, PowerBI, Python, R, Tableau, and MySQL are the tools covered in this curriculum for data visualization.

Duration: 120 + hrs.

Fees         : INR 44999

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Frequently Asked Questions Regarding Data Analytics Courses for Commerce Students:

Q 1. Which is superior: Data science or data analytics?

Data analysis is useful for answering questions based on available data. Data science focuses more on the inquiries that need to be made in order to identify probable trends.

Q 2. What qualifications are required for data analytics?

It depends on the level of the course the applicant chooses. A Class 12 pass certificate is the prerequisite for eligibility.

Q 3. Can one become a data scientist from a data analyst?

A comparable background can be found in both data analysts and data scientists. Although both courses aid in students gaining a solid understanding of mathematics and statistical analysis, a data scientist has the capacity for more accurate modeling and prediction. By taking the appropriate coursework, Data Analysts can become Data Scientists.

Conclusion on Data Analytics Courses for Commerce Students

Since data analytics is a fast-expanding area, skilled data analysts will continue to be in high demand. Anyone with the necessary drive and ambition can become a fully qualified, employable data analyst with the correct training. Data analytics courses are becoming increasingly popular. According to the data, by 2025 the industry will generate billions of dollars in revenue. Commerce students may consider taking data analytics courses as these courses are essential for professional development as they teach students about the roles and responsibilities associated in data analysis.

The aforementioned top 5 data analytics courses for commerce students and be of great help to secure a higher value in this industry.

The data analytics course is suitable for those students, recent graduates, and working professionals who want to improve their production abilities and get ready for a job in analytics. The course is well-known for being career-focused, making it a good choice for anyone looking to start something new. You’ll have the finest job prospects if you learn data analytics. It was also the greater span across several industries and multinational corporations. IT, retail, banking, pharmaceuticals, hospitality, healthcare, FMCG, media, and sports are a few examples of industries with use for data analytics.


Hi. I’m SANA AIJAZ, a former teacher with a passion for communication and language. I am currently residing in Saudi Arabia. While I enjoyed teaching, I realized that I wanted to explore new career opportunities that align with my interests and skills. That’s why I enrolled in a content writing course by IIM Skills to give my career a boost. I believe that the demand for digital marketing is on the rise, and I want to be part of the growing industry. My goal is to create engaging content that captivates audiences and drives business growth. In my free time I enjoy reading and writing, which has helped me hone my writing skills and develop a strong foundation in language and communication. I’m excited to take on new challenges and contribute my skills to the world of content writing.

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