India seems to be lagging in providing data science education, one of the most effective technology-based streams in education.

Data science is a field with a lot of room for advancement. Data science is an interdisciplinary field that employs scientific methods, procedures, algorithms, and systems to extract knowledge and insights from noisy, structured, and unstructured data, as well as to apply that knowledge and actionable insights to a wide range of application areas. According to the US Bureau of Labor Statistics "Employment of computing and data research scientists is anticipated to expand 15% from 2019 to 2029, substantially faster than average for all occupations". As data application and research become more interwoven into most jobs, the next generation of employees will need to learn data analytic abilities in order to become successful & effective communicators within their fields.

India's Status in Term of Data Science Education:

According to a recent survey on recruiting patterns in India's data science and analytics industry, about 97,000 technology-related roles remained unfilled due to a scarcity of skilled candidates. The growing need for data scientists necessitates the development of some key courses and curricula to prepare future leaders.

Children's interest in Science, Technology, Engineering, and Math (STEM) subjects develops at an average age of eight, according to research. This owes to their fascination for technology, gadgets, and gizmos. However, the move from being a technology consumer to an inventor is unusual, and if it does occur, it is a slow one. In India, the relationship between engineering, technology, and entrepreneurship is clearly absent.

According to the 8th edition of the India Skills Report (ISR), less than half of Indian graduates are employable. According to research, only 45.9% of graduates will be employable in 2021, down from 46.21 percent in 2020 and 47.38 percent in 2019.

Why Data Science? What are its benefits?

Data science analytic abilities are a crucial aspect of many professional trajectories, so teaching data science in high school will prepare kids for future data science roles. As data science and analytics will continue to develop, firms will utilize them to evaluate what is works and what improvements may be needed. Employers would expect workers to have a fundamental grasp of data science, as well as the ability to comprehend, analyze, and solve problems utilizing data sets. It's critical that high school kids have the opportunity to practice these abilities in the classroom in order to prepare themselves for the job that will soon be upon them.

Even though in recent times there is a rise in Data Science education in India, it is not without certain disadvantages and limitations which cause the students to flee abroad for these courses and pursue the desired career.

Students with an early start get a number of abilities that go beyond technical computer understanding. Effective data scientists look for patterns in data to solve important concerns and are frequently asked to communicate their findings to non-technical audiences. As a result, students taking up data science courses may learn how to channel their curiosity into action while also honing crucial communication skills. Although not all students will go on to be data scientists in the classic sense, the role of a data scientist is intertwined into a number of occupations. A biotechnology company's multidisciplinary project teams, for example, might include data scientists, product engineers, and managers. Team cross-communication on data analytics may be made more successful and productive if engineers and managers get a foundation in data science understanding. As a result, an introduction to data science principles is beneficial to a range of employment options.