Drawing the Roadmap from BCom to Data Science Career

Like Shahrukh Khan, whose journey started as a TV actor before becoming the ‘King Khan’. His journey was not linear, but his passion and determination made him an icon. Similarly, shifting from BCom to data science might seem unconventional; however, with the right strategy, it’s completely achievable. Just like an actor hones his skills with rigorous practice, transitioning to data science requires a strong foundation in programming, statistics, and data analysis tools. By pursuing short certifications, hands-on projects, and domain-specific knowledge, you can write your script for success.

You must be wondering how to begin this transition and enter the data science field from BCom. This blog has compiled a complete roadmap from BCom to the data science field. Let’s get to its bottom.

Why the Shift from BCom to Data Science?

Today, data science is relatively well-established, especially in firms heavily relying on data and AI. Many institutions include banks, insurance companies, retailers, and healthcare facilities. As a result, data science has become one of the highest-paying jobs. Let’s have a glance at the reasons why students are shifting from BCom to data science:

1. Proficiency in Microsoft Excel:

A BCom student is already familiar with Microsoft Excel. Proficiency in Excel is required for budgeting, data analysis, and financial modelling in both BCom and the data science fields. As both fields have this connection, transitioning from BCom to data science becomes easy. That is why students shift to data science.

2. Symbiotic Relationship Between Commerce and Data:

Business and data science go hand in hand. The B.Com course already covers business analytics, market trends, and financial data, thus making the transition easy.

3. Dual Career Paths:

You get dual career path benefits with a single bachelor’s degree. While pursuing a BCom degree, you can complete data science certifications alongside. Or, if you are a working professional, you can opt for online certifications. Developing data science skills does not require investing time in a full-time degree.

4. Enhances Resume:

Adding 24-century skills and data science puts you at the top. While you are already on the job market’s map, a data science qualification is a treasure for BCom graduates.

5. Financially Lucrative Career:

Compared to BCom, data science students generally earn more. It is the era of data, so data scientists are bound to make good money. This is why more students are switching from BCom to data science.

How to Become a Data Scientist After BCom?

Seeing the growing demand in the data science field, many of you might be eager to enter this evolving job market. Becoming a data scientist does not necessarily require a computer science degree. Candidates from different academic backgrounds, including commerce, can pursue this field. To make the path easy for you, we have explained the steps to become a data scientist after BCom:

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  Understand the Field: Before beginning your journey, understand the field and get familiar with data science. You can start by learning which skills are essential. This builds your foundation for the future.
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  Learn Relevant Skills: Whether pursuing a BCom degree or a job, learn data science-relevant skills. For example, mathematics and statistics, calculus, probability, and others. This would help you deal with data and create prediction models.
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  Develop Programming Skills: The entire field of data science relies on programming. You must learn popular programming languages like Python. This way, you can manipulate data, design algorithms, and create machine-learning models by writing codes.
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  Enroll in Online Data Science Course: While continuing with other commitments, enrol in an online data science course. There are free online courses, and from beginner to advanced level courses. Depending upon the requirement, you can choose courses from different platforms like Coursera, Swayam, UpGrad, and many others.
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  Work on Projects: Data science is all about developing practical skills. So side by side work on trial projects, internships, or freelance work if available. This helps polish your skills and adds to your experience.
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  Apply for the Job: Now, you have the knowledge, internship experience, and skills. Start applying for jobs. Design your resume, write a cover letter according to different companies and start sharing it on various job portals.
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  Upgrade your Skills: Even though you have a job now, this does not mean you stop learning. With the advancement of technology and markets, continue to advance your skills. Make sure to be a part of online communities and expand your network.

Extra Toppings: After BCom Course List

If you want to explore other courses after BCom, we have prepared a list of courses you can pursue.

Summing Up

Data science is an entirely different domain for BCom students. Your commerce background is reasonably related to the data science domain. Talk about business knowledge, statistics, analytical skills, Excel, and data management; all topics are covered in BCom. When you add the salt of a few technical skills, you are good to go in the data science field. Any new career path would require dedication, perseverance, and commitment. So, to go from BCom to data science, pull up your socks and develop fundamental skills. Get set go to reach the current market trends.