4 Factors That Make Data Science an Attractive Profession for Business and Management Majors

Today, online education gives students from all fields the same freedom to explore other career paths. It enables solutions that are accessible and cheap for folks looking to pick up new skills while still keeping up with their usual education or employment schedules. Students from non-technical backgrounds are also entering the technology field through online training as the value of abilities over degrees and practical understanding over rote learning increases. Recent data from Internshala Training show that 28% of all training enrollments were for training in data science. Most non-tech students participating in these programs have pursued or are pursuing a Bachelor of Business Administration (B.B.A.) or Bachelor of Commerce degree (B.Com). Other courses that drew non-tech students were those in web development, ethical hacking, python programming, and AutoCAD.

Why Data Science?

Data analysis is essential right now. Every organization needs a data-driven strategy to operate efficiently. Data aids in examining previous results, and the insights generated from this analysis aid firms in enhancing their production, marketing, and sales strategies. Nearly all industries and operations are now conducted online, creating enormous amounts of unstructured data daily. This data must be carefully sorted, organized, and analyzed to extract the essential information in the simplest form, regardless of whether it pertains to users, products, sales, or anything else. Since handling this data is crucial for organizations, demand for data scientists is also skyrocketing. Since data is everywhere, it creates a variety of work prospects that B.Com, B.B.A., and students from other fields struggle to find in their graduating stream. Building soft skills and job-specific capabilities Students in business and management have a solid understanding of particular abilities, such as Excel and statistics, during their graduation time. Enrolling in a data science course enables students to hone these skills and combine non-technical and technical talents to make managerial decisions based on data and analysis. Soft skills like problem-solving, logical and structural thinking, intellectual curiosity, and good communication are all transferable and can be acquired throughout your educational journey. Once mastered, these skills aid in your overall development. Getting real-world experience through a project You can study Python programming, statistics, predictive modeling, and machine learning through online data science training. You can combine all of these skills to extract useful information from chaotic, unstructured data. You also work on an industrial project where you create an end-to-end predictive model for a financial institution as part of your course. This project helps you develop your practical skills and strengthens your resume. High Career Opportunities Students choose data science over other training because it can help them find unique career prospects in management and data science. This helps them find better work chances and supports higher education. Additionally, the information they acquire offers them an advantage over other students when applying for higher education, even if they do not want to pursue a career in the core area of data science. Today's popular post-graduate specializations for management students include business analytics, international accounting, entrepreneurship, company secretaryship, travel and tourism, and company secretaryship. All of these fields demand strong data literacy skills in addition to business management skills.

Clearly, data is a demanding career choice today, with tons of opportunities to choose from. If you’re also looking for a career change to data science, Learnbay offers a rigorous data science course in Hyderabad, with a diverse selection of domain electives. You can level up your portfolio with multiple real-time projects in your preferred domains.