Data Science: Embraced by Management & Commerce Grads

According to recent data from Internshala Training, 28% of training enrollments are attributed to data science courses, with a significant portion of these students holding or pursuing Bachelor of Business Administration (B.B.A.) or Bachelor of Commerce (B.Com) degrees.

In an era where practical skills and understanding hold more value than traditional degrees and rote learning, students from non-technical backgrounds are now venturing into the world of technology through online training programs. These programs provide affordable and accessible opportunities for individuals looking to acquire new skills while managing their regular academic or work commitments. 

So, why are Management and Commerce students increasingly seeking careers in data science? 

Here are four compelling reasons:

The Growing Importance of Data Analysis:

In today’s business landscape, data analysis has become essential for smooth operations. Data-driven approaches are crucial for understanding past performance and deriving actionable insights, enabling businesses to enhance their production, marketing, and sales strategies. 

With virtually every industry now operating online and generating vast amounts of unstructured data daily, the need for data scientists is skyrocketing.

Development of Job-Specific and Soft Skills:

During their undergraduate studies, Commerce and Management students acquire valuable skills such as proficiency in Excel and statistics. Enrolling in data science training programs allows them to refine these skills and blend non-technical and technical abilities, enabling them to make data-based, analytically informed managerial decisions. 

Additionally, soft skills like problem-solving, critical thinking, intellectual curiosity, and effective communication, which are cultivated during data science courses, are highly transferable and contribute to holistic development.

Practical Exposure Through Real-World Projects:

Online data science training programs provide comprehensive learning experiences, covering areas such as Python programming, statistics, predictive modeling, and machine learning. 

Students also engage in industrial projects, where they design end-to-end predictive models for various applications. This hands-on experience enhances their practical knowledge and strengthens their resumes.

Improved Job Prospects and Higher Education Opportunities:

It  offers unique job opportunities in both management and data science domains, making it an attractive choice for students. Even if students do not intend to pursue a career in data science, the knowledge gained provides a competitive edge when applying for higher education. 

Post-graduation specializations in management fields like international accounting, entrepreneurship, company secretaryship, travel and tourism, and business analytics increasingly require a strong grasp of data management and analysis skills.

To Summarise 

Data science is the driving force behind businesses today and will continue to be so in the future. Learning data science opens up a wide array of career opportunities that are constantly evolving. 

Professionals skilled in data science can occupy diverse roles such as data and analytics managers, business analysts, database administrators, statisticians, data architects, data analysts, quantitative analysts, and data scientists. 

According to Internshala’s data, data science interns in India receive an average stipend of Rs. 9,000 per month, highlighting the lucrative prospects in this field.

Online data science training offers a convenient way for individuals from non-technical backgrounds to gain expertise in both theoretical knowledge and practical skills. 

More and more beginners from non-technical fields are enrolling in these programs, as they no longer need to possess an engineering degree or coding expertise. 

It offers limitless possibilities for those who are determined to keep pace with ever-changing technology and continuously expand their technical skills through practice and learning.