Data science is a booming industry in the global IT and business sector, with a lot of youngsters wanting to pursue a career in it. Although the term ‘Data Science’ was coined in the 1970s, it became a buzzword only in 2008 and has since captivated the minds of young professionals. Over the years, data science has carved a special niche for itself, with the Harvard Business Review naming the role of data scientist the “sexiest job of the 21st century”. Currently, the demand for data scientists in India is expected to exceed 1 million by 2026. Wondering how to become a data scientist after the 12th grade? Let’s discover the procedure and other related information.
Data Scientists are a dynamic and lucrative career option with the ability to impact companies and society’s future. After graduating from high school, pursuing a career in data science gives the possibility to have a significant effect in addition to several other compelling rewards.
The influence of data scientists within organizations and on a global scale has great potential. They can work on projects that address significant global issues like climate modeling, healthcare, or environmental sustainability while automating tedious processes and economizing time and resources.
According to the US BLS, data science occupations are expected to grow by roughly 27.9% between 2016 and 2026. Expert data scientists are constantly in demand owing to a reliance on data-driven decision-making by market leaders such as Amazon, Google, and Apple.
Glassdoor reveals how Data scientists are paid fairly enough. The average income for a data scientist in India as of September 2023 is ₹14,00,000 annually, which is more than that of data analysts and software engineers in related fields.
A chance to work remotely is an added perk, which increases appeal. In India, the average cash bonus or compensation for a Data Scientist ranges from ₹1,00,000 to ₹3,00,000, with an average of ₹2,00,000.
Data science powers technology innovation today. More valuable than even oil, data is currently regarded as the world’s most valuable resource. Opportunities to learn and use new abilities, such as AI, machine learning, and big data analytics, are provided by the ongoing evolution of data science.
Education in data science provides access to a variety of job options. In addition to becoming a master data scientist, you can progress into leadership positions or pursue a variety of professional options within the sector.
If you want to work in data science after you finish your 12th, data science may be an appropriate career choice for you. It provides a dynamic and fruitful career path that integrates corporate planning, data analysis, and programming. You need a commitment to learn the skills and stay current in data science, an ideal career for those with a passion for data and problem-solving.
The question ‘How to become a Data Scientist after the 12th?’ demands a proper knowledge of the courses one needs to take in order to achieve the position of a Data Scientist. Seeking a career in data science after 12th involves passing entrance exams, completing certain UG programs, and meeting eligibility criteria.
Most Data Scientist roles require you to have a strong educational background in data science or a related field such as IT, Computer Science, Mathematics, or Statistics. This could be an acknowledged online certificate, a bachelor’s degree, a master’s degree, or even a Ph.D.
To become a Data Scientist after the 12th standard, you can either enroll for a Bachelor of Science (B.Sc.) or a Bachelor of Technology (B.Tech) degree, details of which you will find below. On the side, you can also enroll for online certificate courses that can boost your knowledge in specific topics, and add value to your resume.
Most online courses in Data Science are priced from Rs. 10,000 to Rs. 65,000. Meanwhile, a bachelor’s degree in the field can cost anywhere between Rs 2 Lakhs to Rs 8 Lakhs, depending on the institution and program.
A thorough learning experience that equips people to grasp the fields of data science, machine learning, and deep learning is the Certified AI & ML BlackBelt+ Programme. This program, which costs INR 64,999 ($999), includes a variety of classes that experienced educators have carefully planned with in-depth knowledge of data science. Participants have access to more than 14 courses, which helps them advance their careers by becoming proficient in a variety of machine learning tools and methodologies.
The program offers 25+ real-world projects and 18 individual 1:1 mentorship meetings for students interested in AI. It provides hands-on experience and helps them address business difficulties. This program is an ideal starting point for those aspiring to work in AI, making it an engaging and fruitful educational experience.
The Machine Learning Certification Course for Beginners is a one-stop solution for beginners like 12th-standard graduates to learn machine learning. This free course offers in-depth knowledge of Python and the basics of machine learning. It explains the working and evaluation of machine learning models, in very basic terms for easy understanding.
The course teaches how to build machine learning models and improve the overall performance of those models using feature engineering techniques. It also mentions the real-life applications of machine learning in various industries.
The course “Top Data Science Projects for Analysts and Data Scientists” is a thorough compilation of open-source data science projects that covers a variety of topics like ML, Computer Vision, NLP, and Data Engineering. It serves professionals of various experience levels, from amateurs to experts in data science. One can enroll for free.
This course, designed for individuals looking to enhance their data science skills and bolster their résumé, is for current analysts and aspiring data scientists, alike. A laptop/desktop with 4 GB RAM, an internet connection, and some acquaintance with Python/R is enough to begin with the course.
Data scientists should take the “Getting Started with Git and GitHub for Data Science Professionals” course. The course teaches the foundations of version control using Git and GitHub, which are essential for efficient project tracking and collaboration. This introductory course walks you through the ins and outs of Git and GitHub without requiring any prior knowledge.
Your data science abilities will improve, and you’ll add a strong skill to your CV if you can grasp version control. A person who is intrigued about learning Git and GitHub in data science programming must enroll in the course. The basic requirements to get started include a laptop/desktop with 4 GB RAM, an internet connection, and a GitHub account.
The Pandas for Data Analysis in Python course teaches you exactly what it says – how to use Pandas in Python for data analysis. Learn how to work with Pandas in this free course and master the most popular Python library in data science. Excel at data analysis and manipulation through this course, and step closer to being a data scientist.
This comprehensive course teaches you all about Pandas in Python right from installation and importing data, to performing data analysis and applying functions. The course also teaches you to aggregate, write, manipulate, and convert data to various formats. Moreover, it familiarizes you with pivot tables and shows you how to deal with missing data values.
Various educational and training programs available focus on the key skills that are required to become a data scientist. After completing their 12th-grade education, individuals can acquire these skills and become proficient data scientists.
Data science is built on a foundation of programming knowledge. They curate codes to clean, preprocess, analyze, and create ML models from data. It is of the utmost importance to be proficient in programming languages (Python and R). Due to their extensive libraries and adaptability, these languages are often used in the data science industry.
Data scientists are required to work with cross-functional teams and non-technical stakeholders. The collaboration for sharing data-driven insights and other details requires strong interpersonal and communication skills.
Data visualization is a great method for presenting complex information in an aesthetically pleasing and accessible way. It facilitates the effective communication of research and trends. For the purpose of producing instructive charts and graphs, knowledge of data visualization tools such as Tableau, Seaborn, Power BI, etc., is advantageous.
It is essential for data scientists to know the business environment. They must coordinate data analysis with organizational goals and plans to produce insights that inform business decisions. Key performance indicators (KPIs) and domain knowledge, as well as familiarity with business principles, are crucial.
Data science’s core methodology is the construction of machine learning models. To address particular problems and make predictions, data scientists must choose, create, and fine-tune algorithms. It is required to be proficient in model evaluation, optimization techniques, and feature engineering.
Data Science has risen to the top of the list of professions that Indian employers are looking for in 2023. The starting compensation for data scientists is rather high in India. As of July 2023, the average base salary of a fresher data scientist is ₹589,484/ year, based on 881 salary profiles. The base salary varies from city to city and according to experience levels.
Now, you are pretty well informed about how to become a data scientist after the 12th grade. The field of data science is gaining exponential growth globally. So, it is a highly recommended profession for a person just out of school with an inclination towards specific subjects.
Ans. IIT Madras is the best college in India for studying data science after 12th. It offers a BSc in Programming and Data Science, as well as various online data science courses. VIT Vellore is another good option.
Ans. As of July 2023, the average base salary of a fresher data scientist is ₹589,484/ year, based on 881 salary profiles. The base salary varies from city to city and according to experience levels.
Ans. Yes, you can become a data analyst after the 12th by pursuing a bachelor’s and master’s degree in data science or a related field or by doing online courses.
Lorem ipsum dolor sit amet, consectetur adipiscing elit,
