CBSE schools in India are undergoing a major reformation under NEP 2020. The introduction of skill subjects and the development of experiential learning attest to schools’ efforts to revolutionize education and impart industry-specific and general employable skills to their students. As part of this revolution, schools have now included data science in their curriculum. But first let us understand the uses of data science and why students need it.
In today’s age and time, where we are surrounded by modern technology, we interact with data without even realizing it. Introducing children to the nuances of data science will benefit them in the long run.
In this article, we will explore the meaning, benefits, applications, and uses of data science.
In the simplest words, data science is the study of data to gather relevant patterns and insight. It entails collecting, analyzing, and elucidating data sets to make informed decisions. It incorporates the concepts and processes of statistics, mathematics, algorithms, scientific visualization, AI, and computer engineering to extricate relevance from a large amount of data.
The applications and uses of data science are not limited to one or two fields. They touch several aspects of our lives. Hence, the core knowledge of data science unlocks several career opportunities across various industries, such as technology, healthcare, business, and finance. Additionally, it fosters skills such as problem-solving, decision-making, and critical thinking.
Data science education in CBSE schools helps students prepare for a life beyond classrooms. It helps in cultivating skills that pave the way for a prolific career.
Here are the benefits of data science education in CBSE schools-
Data science offers the foundational knowledge of AI and machine learning concepts. Students learn algorithms, various techniques of data analysis and interpretation, and the practical application of this knowledge in real life.
As AI is a very promising field, the foundational knowledge helps students excel in it.
Data science teaches students to use data as the basis of their decisions instead of relying on guesswork. It involves analyzing numbers and facts, identifying trends, and assessing risks to make a viable choice. The skill of making evidence-based decisions helps students in every aspect of their lives.
Data science encourages students to take a structured approach to problems. The process involves analyzing data, identifying patterns, making predictions, and finding solutions. This organized strategy improves their problem-solving skills.
As a part of their data science module, students are exposed to several data analysis techniques. They learn using various tools to analyze and interpret data to form decisions. Moreover, they also learn to effectively present the data to stakeholders.
It is one of the most important skills that comes in handy in various industries.
As mentioned, the principles of data science can be applied in several fields, from business to education, healthcare, retail, and even in real life.
In data science classes, students are taught to apply data science concepts in real life through several projects, which makes the entire learning process more engaging and fun.
Data science is growing at a rocket’s pace and establishing its footing in various domains. Having theoretical and practical knowledge of data science prepares students to excel in different fields. They learn coding, data analysis, data governance, causal inference and statistics, artificial intelligence, machine learning, and more.
The valuable skills imparted by this subject improve the career prospects of students. Moreover, students can use the examples of data science projects completed as a part of their school assignment to showcase their skills and improve their chances of getting hired.
Data ethics and governance form an essential part of data science. Schools make it a point to teach students the right way of handling data through data privacy and security in the syllabus.
Data science has applications in almost every industry. Here are some uses of data science-
Data science enables strategic decision-making in the finance industry. By assessing risk factors and prediction it helps finance companies tackle fraud and losses and understand customer behavior.
Other applications of data science in the financial industry include algorithmic trading, stock market forecasting, credit allocation, etc.
The integration of data science in the healthcare industry brings significant advantages to hospitals, medical professionals, and patients. It is used in medical image analysis, medical bots, drug discovery, remote patient monitoring, early diagnosis, disease prevention, wearable healthcare devices, identifying patient risks, etc.
Through real-time data analysis, route optimization, predictive analysis, accident detection, traffic prediction, etc., data science optimizes the transportation industry. From logistics companies to public transport systems, every entity uses data science to streamline its functions.
Data science, in conjunction with machine learning, ameliorates the performance of computers in competitive or multiplayer games.
Data science is all around us. It is optimizing processes and improving efficiency. Introducing children to it in their early learning stages helps them imbibe the concepts and learn from real-life applications of data science.
Equipping them with the skills to analyze and interpret data to form data-backed decisions helps them navigate the information-driven world with confidence and responsibility.
DWPS Barasat excels in this regard. By teaching theoretical concepts of data science to curating hands-on experience with projects and assignments, DWPS allows students to experience data science first-hand. It not only fortifies their foundational knowledge but also makes students confident in orchestrating its practical application in their professional careers.
