Reasons To Enroll in Data Analytics Courses After The 12th

Data Analytics and Data Science are becoming the top careers of the 21st century. The Internet is full of websites that provide information about data analytics courses after the 12th through various offline and online, short and long-term courses. Most importantly, they show the earliest opportunities to pursue data analytics courses after the 12th standard. This article provides a comprehensive overview of popular questions related to Data Analytics or Data Science courses after the 12th.

Reasons to enroll in data analytics courses after the 12th

Students completing 12th grade are at an important stage in their lives and are under immense pressure to decide their future careers. The information age and the Internet can make the decision-making process easier for them, but they can also confuse young people with too much information aimed at marketing profits.

Considering all the challenges that youth and their well-wishers face in choosing the right career path, this article will provide you with in-depth knowledge of joining data analytics courses after the 12th. Let’s get started.

Here is a guide to Data Analytics and Data Science

Data Analytics: What Is It?

This is the core and fundamental question of any decision-making process. So let’s answer that first. Data analytics is a set of quantitative and qualitative processes used in data science to scientifically extract meaningful and reliable information from large data sets using various methods, tools, and technologies.

Although we are no strangers to data analysis, traditional data analysis methods cannot handle big data in large computer networks, supercomputers, global servers, cloud farms, etc., across several geographical areas.

At a time when countries, cultures, and populations are increasingly dependent on each other for food, health, education, work, etc., the sharing of knowledge is crucial to achieving sustainable development goals (SDGs) in the world.

The information age and the role of emerging information technologies are crucial in making data analytics central to all development works. Therefore, it is important to understand the evolution of real-world data sets and then learn about the scope of data analysis.

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Information Age and Development of Data Sets Around the World

We all know that we are living in the 21st-century information age or in the age of the information technology revolution. It consists of various phases of development in the world since the 20th century, such as the era of computers and digital technologies, the era of the internet, and various computing languages.

This period brought various new job opportunities from time to time. They united distant parts of the world into one global world of computer engineers; software and hardware specialists who have supported a wide range of production, market, and financial sector jobs around the world.

They have created large datasets from diverse fields such as food, health, education, housing, leisure, travel, finance, etc. A large part of the population enjoyed the advantages of modern work; new lifestyles, food, health, and cultural practices; savings and security options, etc., and all these developments together have generated a large chunk of data in various forms.

For example, a large part of the population has started using health facilities from different specialists, in different health centers under different medical practices, and this information is available both online and offline.

However, the availability, affordability, and applicability of health care within and across systems face many challenges that require new methods to ensure that solutions work optimally and that benefits are shared across all people and regions of the world. This has led to the need for new approaches to data science, such as data analytics.

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The Emergence of Data Analytics as a Career

We are currently in the next phase of development, where it is necessary to predict data patterns, relationships, and trends in different data sets with different development spectra. Although the main discourses surrounding data analytics see it as a key factor in business decisions, data analytics is not tied to any industry.

It is key to the socio-economic, political, and ecological development of societies. They must analyze new challenges and opportunities in today’s fast-paced world. We face various critical conditions such as population explosion; climate change and disasters; depletion of food, health, and housing resources; corporate financial crisis, and many other demand and supply conditions affecting the global economy.

Therefore, the current buzzword in the global job market is the advancement of data science and technologies, and the emergence of data analytics and artificial intelligence to provide end-to-end solutions.

Data analysis/analytics have been used for a long time in certain fields, but now data has become a key resource for innovation in economic growth and development and is widely used in all sectors. Accordingly, the scope of pursuing data analytics courses after the 12th has flourished everywhere.


Scope of Data Analytics Jobs

Data analytics is a part of data science technologies. The focus is on the application of scientific tools and technologies to the collection, cleaning, and analysis of data, as well as the creation of data models and databases and the construction of appropriate data systems and solutions.

Data analysis processes can be manual or automated. Automation is possible through mechanical processes and algorithms. Different types of organizations and their goals use different data sets and apply different types of analytics such as descriptive, diagnostic, predictive, and prescriptive analytics.

Thus, simple and complex analytical tools such as spreadsheets, data mining and statistical programs, visualization, and reporting tools, and various open-source languages ​​are used for programming or coding applications. Data analysts should be equipped to use some or many of these tools, depending on the nature of the work for which they are hired.

The subjective knowledge of a data analyst includes computer science, mathematics, statistics, and accounting, so the job requires knowledge of both natural sciences and business.

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Of course, the demand for data analyst jobs has created job market questions like “How to become a data analyst”, what are the data analytics courses” or “Data analyst courses” available to “Become a data analyst”.

Although this job market is currently more focused on commercial market-based production and consumption opportunities and solutions, demand for data analysis has gradually emerged in all development and organizational units.

Although there are several options for every age group to become a data analyst, in this article we will focus on the scope and aspirations of the young generation in India.

There is a growing number of questions/confusion among the 12th graders, about whether to pursue Data Analytics Courses after the 12th standard. Some blogs have tried to answer them. Moving on to them, we will try to understand why young people should or should not opt ​​for data analytics courses after the 12th.

Why Choose Data Analytics Courses After the 12th?

It is a universal question on every student’s mind when deciding on a career, “why?”. Income, social status, modern lifestyle, and a sense of achievement or purpose are common factors in career choice.

At the same time, many of you may have had inspiration from within, an innate drive and skills that can guide you to a specific goal. Both internal and external drives together influence us to take up a particular job of interest. These are the reasons, we see children of doctors who want to become doctors, as well as engineers, businessmen, etc.

Mainly, this is a trend due to the advantages of knowing a certain career path due to inherited skills, family business continuity, availability and affordability of certain resources, etc. This may not be common everywhere. Some people would also be completely self-directed.


Thus, students usually decide on a field of study that they are familiar with based on prevailing circumstances. But if you opt for Data Analytics Courses after the 12th, then the scenario is different. It is important to understand that data analytics is not sector-specific, so it is not just the job of an engineer or a statistician.

But it is needed for every domain and even more so in the future. Be it agriculture, medicine, engineering, trade and commerce, entertainment, social work, etc. In recent years, data analysis has been widely used in disaster management and intelligent management.

Data analytics helps to collect necessary data from large data sets and analyze them to find new opportunities, new business activities, and improvisation of existing conditions.

It is used to solve the problems of producers, distributors, and consumers, to ensure wider availability of food, health, education, new lifestyles, and various needs of supply and demand around the world.

Considering the critical roles of data analytics, the following are reasons to choose a career in data analytics.

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Reasons To Enroll in Data Analytics Courses After The 12th


1. Sustainable Future

The technological advances of the time affected every generation and people continued to join those highly sought-after professions. For example, the 1950s and 1960s were the eras of high demand for doctors, engineers, teachers, banking and insurance, and various government jobs.

Many people received education and joined these professions, achieved self-growth, and development in the societies, and thereby contributed to nation-building. People moved in large numbers from agriculture to urban work, and cities grew with both progress and problems.

From the 1980s and 1990s, IT industries began to grow, computerization and digital technology increased, and more and more people began to join IT jobs in both the public and private sectors. India is known for its highly skilled IT professionals who have worked internationally and helped countries connect, share resources, and trade their goods and services.


Although many countries have achieved tremendous growth, the problems of climate change and the financial crisis have increased, and many countries have remained underdeveloped. Since the 21st century, every sector has transformed internal networks and the Internet of Things.

Big data is exploding and the demand for these data professionals is also growing rapidly. Countries progress or remain underdeveloped depending on how these professionals use these data sets to generate new knowledge and solutions and improvise existing systems.

Our globalized world-class professionals must use this revolutionary development to deliver fruitful results and create sustainable ways of working and living for all that will last for generations. So, by choosing data analytics courses after the 12th as a career option, you are joining the great-in-demand workforce and trying to create a sustainable future for yourself and everyone.

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2. Sense of Achievement

Remember that data analysis is the creation of meaningful and reliable information in all fields. This is a great time to create new opportunities and improvise existing knowledge to build a secure future. This is a very responsible job. By choosing data analytics, you can feel a great sense of accomplishment for yourself and your community.

Status does not come from money and the goods we own but from the development of ourselves and the community. Data analytics can offer unique opportunities to be creative improve your understanding of the world, and help others join the ranks of forward-thinking people.

Like every generation, this generation has the opportunity to build a better society and try to save ecology, economy, and society or otherwise. Although data is sensitive and data protection is the new challenge of this era, when data is used responsibly to ensure a better quality of life for all, all fears of an unsustainable future can be banished.

So, if you choose Data Analytics Courses after the 12th as a career option, you can strive to create a better world and feel a sense of accomplishment.

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3. Exposure to Multiple Domain Knowledge

While learning and working with data analytics you are dealing with extracting knowledge from raw data from different domains which can be, for example, healthcare, education, engineering, data science, arts and culture, entertainment industry, etc.

Only by improvising the domain knowledge can you create meaningful insights and solutions.  Throughout the periods of study and work, students and professionals get exposed to multiple domains. Competence in domain knowledge can give data analysts great career progression.

So, if you choose Data Analytics Courses after the 12th as a career option, you will opportunity to learn multiple domains which is a great opportunity to learn life.

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How To Choose Data Analytics Courses After the 12th?

Students can approach the study of data analytics courses after the 12th in different ways. They should know that data analytics is part of data science, an interdisciplinary field that combines principles and methods from various fields such as mathematics, statistics, artificial intelligence, and computer science to extract actionable information from large raw datasets.

It requires a wide range of technical skills and languages, as well as practical and creative problem-solving skills to deal with multidisciplinary and interdisciplinary areas of knowledge. Therefore, it is necessary to identify a broad field of interest according to your subject proficiency and skill sets.

As mentioned before, data analytics is not an industry-specific job, but it is applied in all types of industries and organizations, both public and private, to my creative insights from the datasets to create system capabilities and improvisations in the system.

The level of hard work required to achieve the objective of making data analytics a career can’t be undermined the moment you decide to take this course. Although the job of a data analyst is technically demanding, industries hire in large numbers for high salaries due to the current shortage of data analytics professionals.

This situation may change in the future, as it did for software engineers in the past. Therefore, it is necessary to constantly upgrade to the latest technologies in science to progress in the career path.


Following Are the Different Approaches That Students Can Carefully Go Through to Choose Data Analytics Courses After the 12th.

1. Pursue Data Science as a core course in your graduation by opting for undergraduate programs offered by Indian universities such as BSc, BCA, BBA, BTech, and BE. International undergraduate courses in Data Analytics are also popular both offline and online.

For international studies, additional certificates such as IELTS or TOEFL language skills, subject level tests GRE, SAT, etc., and reliable sources of funding are required.  After earning a bachelor’s degree, students can pursue careers in companies or organizations that offer entry-level jobs as data analysts.

At this point, you may need to meet industry requirements through additional certification courses or advanced certification courses in data science. For those who have at least 2-3 years of experience, there are professional courses for upward career paths.

2. Pursue Data Science courses at the post-graduate level after completing graduation in core data science subjects such as Mathematics, Physics, Statistics, and Computer Science. It has also been suggested that graduates in commerce with mathematics, statistics, and accounting majors also can apply to opt to study higher education in data science.

Institutions like IITs, IIMs of India, and all top universities offer master’s programs in data science or data analytics. Well-known educational institutions conduct entrance exams to admit students.

3. Data analytics can be studied as a specialization subject in both graduation and post-graduation degrees along with the regular disciplines such as BSc in computer science, statistics, mathematics, artificial intelligence and also business management, and others. Most of the BTech, BE and MBA, MCA programs offer data analytics specialization.

4. Purse certification courses in data analytics at undergraduate or postgraduate levels along with required core subject knowledge. It can be done along with undergraduate and postgraduate level studies, depending upon the specific need to pursue a data analytics course as a value addition or advanced analytical skills to their major subjects such as computer science, statistics, charted accounts, etc. or to those who aim to become industry professionals.

Some of the examples are the Google Data Analyst Professional Certificate, IBM Data Analyst Professional Certificate, Microsoft Certified Analyst, and various other courses. Certification courses are booming in India, and it is very difficult to make a selection from them.

This can be a short introductory or specialist course that can be pursued by reputed institutions such as IIM, IITs, IBM, Google and also Coursera, Udemy, Simplilearn, and many other public and private institutions. There are both online and offline courses.


There are many online certification courses offered by reputed international universities. These courses provide flexible timings and individual or group mentors for the course. The duration can vary at different institutions.

5. Those of you who are still not sure about opting for data analytics courses after the 12th as a career, yet tempted by the hype about the job market for data analysts and don’t want to lose out without attempting, can prefer to pursue any short-term certification courses between 10-20 hours of course duration, in institutions which offer data analytics basics course along with an internship to work with real-world datasets, to get a feel of entry-level works, test the self-skills level, work environment, and requirement, etc. Based on your experiences with the learnings, you can decide upon opting to take data analyst courses after the 12th.

Important Skill Sets To Acquire to Become a Data Analyst

While some basic skills are inherently within us, some skills need to be acquired over some time through practice and exposure to real-world working environments. There is no need to be overwhelmed by the following list, these are the standard requirements published by industry experts.

It is also possible that, depending on the job requirement, you may acquire a few from below, whereas the skills in serials 7 and 8 are categorically required to become a good data analyst.

  1. Data query languages.
  2. Advanced Excel methods such as macros, VBA
  3. Statistical programming. R and Python are mostly preferred languages
  4. Mathematical skills, Econometrics – a combination of mathematics and statistical methods
  5. Machine learning
  6. Data cleaning, mining, modeling, analysis, warehousing, management, and visualization
  7. Critical thinking, problem-solving, and research skills
  8. Communication and presentation skills


Frequently Asked Questions

1. What is the monthly or yearly salary of data analysts in India?

The annual salary of data analysts in India ranges from 4 lakhs to 12 lakhs rupees. As data analytics jobs are not sector-specific, the salary varies across different sectors and companies or organizations and their locations. According to, the average salary of data analysts in 2023 is 16.7 lakhs, ranging from 14 lakhs rupees to 43 lakhs rupees based on 362 profile verifications. This figure can’t be generalized but one can aim to earn a high salary with qualifications, skills, and many years of experience as a data analyst. Following are the age-wise salary per annum,

  • < 10 lakhs per year – 21 to 26 years of age
  • Between 10-20 lakhs per year – 26 to 31 years of age
  • Between 20-30 lakhs per year – 31-36 years of age
  • Between 40-50 lakhs per year -36 to 41 years of age
  • > 50 lakhs per year – above 41 years of age

2. What is the cost to study bachelor courses in data science courses?

While data analytics bachelor courses are offered mainly by private colleges and universities, the fees vary at different institutions. An average of 1-2 lakhs may be required to be spent to study the course.

3. What are the job opportunities available to data analysts? Which companies are hiring us?

Top Jobs: Data Engineer, IT Systems Analyst, Marketing Analyst, Quantitative Analyst, Data Architect, Database Administrator, Data Analyst, Business Intelligence Analyst, Data Scientist, and Operations Analyst. Top companies hiring data analysts: KPMG, Amazon, Flipkart, Microsoft, Uber, EY, Goldman Sacks, IBM, HP, Samsung, Walmart, Deloitte, Wipro, TCS, Accenture, McKinsey, Dell, Emphasis, Morgan Stanley, Capgemini, Cognizant, Oracle Infosys, etc.

4. Whether an art graduate student become a data analyst?

According to standard answers given by numerous sites, anyone can become a data analyst. This means that an art graduate student needs to study one or more core courses such as statistics, mathematics, computer science, and programming languages such as Python, R SQL, etc., and do the certification courses in data analytics. One should know the level of hard work required to learn the new subjects and acquire the skill sets and then decide to become a data analyst.

5. Whether data analyst jobs may get outdated in the future?

While data science will continue to grow along with AI’s technological advancement, the scope of data analysts might change in the future depending on the AI’s capabilities to do the jobs currently being done by the data analysts, such as searching out patterns and reporting, etc. While there is no clear answer to this question, data analytics might continue to exist and there are possibilities of a few types of jobs getting automated and new jobs being created.