Have you ever had those moments in your life where you are in trouble making a choice or taking a decision and suddenly your best friend comes up with the best advice and wallah! Your problem is all solved. Likewise, Data scientists are professionals who help solve complex problems to help organizations make better decisions through their analytical, strategic, programming, and domain knowledge.
What Is Data Science?
Data Science is the process of transforming raw data (collected through various sources)into useful information, enabling businesses to make smarter decisions, automate processes, and boost productivity. It predicts trends, customizes experiences, and streamlines operations using advanced programming, artificial intelligence, machine learning, and statistics. In today’s rapidly expanding data-driven world data science is crucial for survival and innovation across businesses.
Why Choose a Career in Data Science?
Businesses today are struggling with volumes of unstructured information and data which need to be earthed to extract valuable insights and this can be done through the help of data scientists. Data Scientists are highly in demand because all industries rely on data. According to a report, their demand is significantly going to increase by 35% more in the upcoming years. This career not only provides a lucrative salary but also creates a space for innovation and growth.
Data Scientist Roles and Responsibilities
To understand the data scientist’s role we must be aware of the fact that the data scientist position has evolved and expanded from the data analyst position. Although both the categories had similar roles to organise and analyze big data organizations.
However, what separates them is that the data scientists have an additional role of using business sense and communication skills to influence and support organizations in tackling challenges. Also, they improve data collection procedures, cleaning data, process data integrity, analyze large amounts of data, create prediction systems, propose solutions, and collaborate with business and IT teams.
How to Become a Data Scientist After 12th in India?
Best Undergraduate Courses for Data Science Aspirants
After completing your 12th, especially with a background in Science (PCM or Commerce with Math), the first step is to enroll in an undergraduate program that offers strong foundations in programming, statistics, and data analysis. You can choose the options from below:-
The BSc Data Science (4-Year Honours) program
This course provides in-depth knowledge of programming languages such as Python and R, as well as specialized topics on Machine Learning, Artificial Intelligence, and Big Data analytics. Its hands-on approach, which includes internships and research projects, provides students with practical experience and industry exposure.
Furthermore, the 4-year framework is consistent with NEP recommendations, making it an excellent stepping stone for students interested in pursuing a PhD or a research-based employment in data science.
The BTech CSE (AI/ML Specialisation) program
It combines core computer science fundamentals with advanced data science applications. This program emphasizes algorithmic thinking, software development, and high-performance computing, as well as a thorough understanding of AI and machine learning models.
Its technical rigor and industry alignment make it highly sought by tech behemoths, particularly MAANG corporations (Meta, Amazon, Apple, Netflix, and Google), which provide good placement opportunities and professional advancement in cutting-edge tech fields.
Learn Essential Data Science Skills & Tools
Technical Skills Required to Become a Data Scientist
- Programming Languages: Data Scientists are the interpreters and the fundament to interpret is to be fluent in the language one is going to interpret. A data scientist needs to know the programming languages such as Python, R, SAS, and SQL.
- Mathematics & Statistics: A data scientist has to make calculations and analysis, understanding the fundamentals of Mathematics, Statistics, and Computer Science is crucial as they form the foundation of data analytics. An aspirant in this field needs to be well-versed in mathematics and statistics.
- Machine Learning & AI: A Data Scientist has to immerse themselves in Machine Learning & AI because it helps in gathering and synthesizing data information more effectively. Some machine learning models include Naive Bayes, Decision Tree, SVM, and more.
- Data Visualization: To be a Data Scientist it is important to be able to visualize data. A good data visualization helps Data Scientists present their work to the stakeholders in the form of a compelling story of the business insight. Some of such tools are Power BI, Tableau, and Microsoft Excel.
Soft Skills for a Successful Data Science Career
- Problem-solving skills: A data scientist is a problem solver and they must possess problem-solving skills. Problem solvers easily find tricky issues and decode them as soon as possible.
- Critical thinking & analytical mindset: Data scientists should think critically. Analyzing difficulties objectively during data interpretation is critical before forming an opinion. A critical and analytical mindset enables them to conduct an objective examination of a particular situation.
- Communication & storytelling with data: A data scientist uses great communication and narrative skills to transform complex studies into clear, actionable findings. They utilise data visualisation and narrative strategies to make data more engaging and effective for a variety of audiences.
Step-by-Step Roadmap to Data Science Career (2025 Edition)
Essential Skills to Learn for the Foundation to Start your Data Science Career are:
- Programming (Python/R)
- Mathematics (Statistics, Linear Algebra)
- Basic Database Knowledge (SQL)
Recommended Courses:
- Inspiria’s “Python Fundamentals” certification
- Online platforms (Coursera, edX)
Phase 2: Specialization (Year 3)
It is the most essential part of the map to make the right choice:
- Machine Learning
- Big Data Analytics
- Business Intelligence
Advanced Certifications:
- Google Data Analytics Professional Certificate
- IBM Data Science Professional Certificate
Professional Development
- The Final Step is to build a good Portfolio
- GitHub projects
- Kaggle competitions
Seek for Internship Opportunities:
- Inspiria’s industry tie-ups for summer internships
Data Science Certifications and Courses
University Degree Programs:
The best data science certifications can be gained from Inspiria’s BCA with Data Science Specialization course which gives you a holistic understanding of this field and makes you career-ready. There are also other notable Indian University Programs that students can choose according to their interests.
Online Certifications
This field offers other options as well wherein you can learn this course for free from Google. For premium paid certificates you can consider IBM Data Science Professional Certificates, Microsoft Azure Data Scientist Associate, and more.
What Is the Scope of Data Science in India?
Future Job Demand & Industry Growth
By 2030, the global demand for data scientists is expected to increase by more than 35%. Indian businesses across industries are aggressively hiring data specialists, while global demand presents attractive remote and international prospects for experienced Indian data scientists.
Top Companies Hiring Data Scientists in India
TCS, Infosys, Wipro, and Accenture are among the top IT organizations that regularly hire data scientists. Global tech behemoths such as Google, Amazon, Microsoft, and Meta also provide attractive opportunities. Furthermore, startups and fintech firms are aggressively looking for data science skills to fuel innovation and data-driven strategy.
Data Science Salary in India – How Much Can You Earn?
Salaries for a Data Scientist vary due to different factors like experience, Specialization, location, and industry. However, there’s a general structure;
| Entry Level Salary | 5-7 Lakhs per annum |
| Mid-Level Salary | 10-15 Lakhs per annum |
| Senior Level Salary | 20 Lakhs per annum |
Higher Studies & Career Growth After BSc. in Data Science
If you enjoy analyzing data or solving complex problems and want a high-demand career at the intersection of technology and business, you can opt for a master’s in Data Science. Some specializations include;
- M.Sc in Data Science
- MCA with AI & ML Specialization
- MBA in Business Analytics
Alternative Career Paths After Data Science Graduation
If you’re a data science graduate, you don’t have to limit yourself to technical responsibilities; your analytical talents can also lead to strategic, creative, or management opportunities. Some of the alternative career paths include:
- Freelancing & Consulting in Data Science
- Entrepreneurship & Startups in AI & Analytics
- Research & Development in AI
Why Study Data Science at Inspiria Knowledge Campus?
Inspiria Knowledge Campus is a reputed institution under a recognized affiliation with the Maulana Abul Kalam Azad University of Technology (MAKAUT), with NAAC accreditation and AICTE approval. Studying Data Science at Inspiria Knowledge Campus provides an industry-aligned curriculum, skilled and experienced professors, and hands-on experience with real-world projects. The campus promotes innovation, collaboration, and career preparedness, preparing students for in-demand positions in today’s data-driven global market. It is an ideal choice for students seeking an industry-aligned data science institution in eastern India.
Conclusion:-
To become a data scientist after 12th grade, first select an undergraduate program in computer science, statistics, or data science. From there, you can lay a solid basis and eventually specialize with a master’s degree. As industries throughout the world look to data for more informed decision-making, data science has emerged as one of the fastest-growing and most lucrative professional choices today.
Apply today for Data Science courses at Inspiria Knowledge Campus! Don’t wait any longer to start your future profession.
FAQs:-
ANS:– A degree in Data Science, Computer Science, or a related field is ideal to become a Data Scientist.
ANS:– No, You will need relevant graduating certifications and skills in Python, SQL, and data visualization, to ensure a job as a data analyst.
ANS:-There are no specific entrance exams but many universities accept JEE, CUET, or institute-specific exams.
ANS:– No, alternative entrance exams or direct admissions are available.
ANS:– Yes, but a strong portfolio and certifications are required.
ANS:– B.Sc is more mathematical, while BCA is more application-oriented. However, a B.Sc in Data Science is considered more advantageous.
ANS:– Having prior knowledge of Python, and SQL is beneficial but not mandatory.
ANS:– Many institutes, including Inspiria Knowledge Campus, offer strong programs.
ANS:– Typically 3-5 years, depending on education and self-learning.
