Aspiring a Career in Data Science? Courses, Fees, Eligibility, Career and Scope Explained

Following the mass layoffs in the tech sector and the rapid rise of Artificial Intelligence (AI) platforms like ChatGPT, concerns have emerged about AI's impact on the data science profession. Many wonder if AI will challenge the need to enter or stay in the field. However, the situation is more nuanced, and for those with data science skills, the outlook remains promising. Data science is proliferating in India, with an increasing demand for professionals who can analyse and interpret large datasets. The scope of data science is broad, offering opportunities in finance, healthcare, e-commerce, and government organisations. Beyond these, data scientists are also needed in sectors like transportation, energy, and manufacturing. With data science constantly evolving, new applications and techniques emerge, ensuring a diverse range of opportunities for data scientists in India for years to come. Let us learn more about data science courses, data scientist eligibility, scope, and data science, or data analyst course fee:

What is a data science course?

A data science course typically covers foundational subjects like statistics, machine learning, data visualisation, and programming, preparing students for a career in data analysis and innovation. Data science course details include training in tools such as Python, R, and SQL, with a focus on uncovering actionable insights, building predictive models, and improving product offerings through AI and machine learning techniques.

Why should one pursue a data scientist course in India?

India has a large pool of opportunities for data science specialists, primarily because of a growing IT market and multinational corporations along with a growing persuasion towards AI and analytics. Pursuing data science qualifications in India offers opportunities to obtain education from some of the premier universities worldwide, at low cost and with a thriving technology industry. Also, the need for competent data scientists in the growing sectors of finance, healthcare, e-commerce, and technology is high hence making India the right place to achieve a data scientist qualification. Moreover, most of the Indian companies provide internships as well as industrial training to the students and hence provide students an added advantage in the global employment market.

Data Science Courses in India: A Quick Review

India in particular has abundant learning resources for data scientists both online and offline; they are of high quality and offer great promise of a great future for data scientists. This data science course after 12 class is designed according to the experience level of the student and offers a multicultural course experience. The students who want to do a data scientist course after 12 class can go directly for a bachelor of science in data science or a bachelor of technology in data science. These undergraduate programmes take 3- 4 years to complete and teach learners the basics of coding, statistics, and data analysis. Besides, universities in India provide B.Sc, M.Sc and Master of Computer Applications (MCA) in Data Science and Analytics. These programmes combine computational and informational knowledge together with software engineering to train students for technical and analytical positions in their respective fields. Besides, the following are other types of UpGrad data science courses available to the students. UpGrad collaborates with prominent universities and provides programmes in data science such as PG Diploma in Data Science and MS Data Science. They provide some of the best course for data science programmes which take 12-24 months to complete. These courses have been tailored for students with work responsibilities accompanied by features such as one-on-one mentorship, live projects, and case studies.

Data Science Course Eligibility

The eligibility criteria for data science courses can vary based on the level of study and the institution offering the programme. Here’s a breakdown of the data analyst eligibility for various data science courses:

Data Science Course Fees in India

We have formulated a table showing the overview of the data scientist course fees in India. With the help of this reference to data scientist or data analyst course fees, candidates can plan their finances accordingly.

Career & Scope for Data Science

Data science is increasingly becoming popular in India and its market is predicted to rise exponentially and reach $3.38 billion through 2029. India stands as a strategic market for such solutions due to the growing demands of many sectors needing analytics solutions. Also, the awareness of investment in Indian start-ups and new AI, machine learning, and analytics job opportunities is creating new career avenues for professionals. Ongoing advancements in the digital economy of India and current schemes going under Digital India are also adding pressure on industries to employ professional data scientists. With virtualisation becoming a standard operating procedure in every corporate company, data science in business has grown to be a tool for traditional businesses as well as modern technological ones. Furthermore with the gradual development of India as a tech spot, companies in IT, finance, Healthcare, Agriculture, etc. sector are in dire need of Data Science people. Here are some key career opportunities to explore in the field of data science:

● Data Scientist: They analyse and interpret large amounts of data to come up with better decisions for the business.

●Machine Learning Engineer: Machine Learning Engineers define and apply models that allow computers to learn and get better over time.

●Data Architect: Data Architects are responsible for designing and implementing the structure for storing and answering questions regarding large volumes of information.

● Statistician: A statistician is a person whose task is to gather, sort, and assess numerical information to reveal patterns or to provide information for decisions.

● Data Analyst: Data Analysts are involved in processing, analyzing structural and qualitative data to facilitate the production of reports that will address certain business issues at hand.

Way Forward

Enterprises of the modern world switch to data-driven decisions, and as a result, data science jobs get broader in terms of industries – from the financial sector to healthcare and others. The use of data in improving efficiency and customer satisfaction is likely to remain high; therefore uptake of data scientists is also expected to grow strongly. As evident from the availability of ample courses in the actual field, one can prepare himself/herself to work in this fast-growing field of data science. Hence they grasp with confidence that being a data scientist does not only afford them immense personal growth but also bring about profound impacts in the development of technology in India and across the world.