Did you know that the demand for data scientists is so high globally that there are more job openings than candidates to fill them? With advancement of technology and the rise in importance of data, Data Scientists, today, are some of the most in-demand professionals globally. So, if you’re a fresher looking to explore this particular field, one of the first questions that pop in your head would be: How to become a Data Scientist after 12th?
That is exactly what we will answer for you in this detailed step-by-step guide. We’ll not just take you through how to become a Data Scientist after 12th in India, but we’ll also share some key details such as eligibility criteria, Data Science roles and responsibilities, Data Science salary and the key skills required to become a Data Scientist.
So, let’s begin.
How to Become a Data Scientist After 12th in India
Here are some of the paths you can explore if you want to know how to become a Data Scientist after 12th in India.
Education Paths
- Relevant Bachelor’s Degree: This is the most common route. Pursue a Bachelor of Science (B.Sc.) or Bachelor of Technology (B. Tech.) in a relevant field like Data Science, Statistics, Mathematics, or Computer Science. These programs will provide a strong foundation in core Data Science concepts like statistics, probability, algorithms, and data analysis.
- Diploma/Certificate Courses: While not as comprehensive as a degree, diploma and certificate courses in Data Science can equip you with the basic skills for entry-level Data Science roles. These are good options if you want to transition into Data Science from another field or want to upskill quickly. Look for reputed institutions offering these programs.
Developing Core Skills
- Programming Languages: Proficiency in programming languages like Python (most popular for Data Science), R, and SQL is essential. Python offers a vast library of Data Science tools and is relatively beginner friendly. R is another powerful option for statistical analysis. SQL is crucial for retrieving and manipulating data from databases.
- Mathematics and Statistics: Brush up on your math skills, particularly linear algebra, calculus, and probability. These form the backbone of data analysis techniques. Statistics courses will equip you with methodologies for data collection, analysis, and interpretation.
- Data Analysis Tools: Learn to use data analysis tools like Pandas (Python library for data manipulation), NumPy (Python library for numerical computing), and Matplotlib (Python library for data visualisation). These tools will help you work effectively with datasets.
Building Your Portfolio
- Personal Projects: Work on personal Data Science projects. You can find interesting datasets online (be sure they are publicly available) and practice data cleaning, analysis, and visualisation. Showcase these projects on a portfolio website like GitHub to demonstrate your skills.
- Online Courses: Many online platforms offer Data Science courses and projects. Completing these courses and projects can add valuable experience to your portfolio.
Gaining Experience
- Internships: Look for Data Science internships. This is a very effective way to gain practical experience working on real projects under the guidance of experienced professionals. Internships are great for enhancing your resume.
- Freelance Projects: Consider taking on freelance Data Science projects with smaller companies or organisations to gain experience and build your network. There are websites where you can find freelance Data Science work.
- Stay Updated: The field of Data Science is highly evolving field owing to the constant innovation in technology and applications. Make it a habit to stay updated with the latest trends. Read industry publications, attend webinars and conferences, and participate in online communities to stay ahead of the curve.
Here are some popular resources for freshers in India to stay updated on the latest trends in Data Science:
Industry Publications:
Webinars and Conferences:
Online Communities:
These is just a recommended roadmap to become a Data Scientist in India, and the specific path you take may vary depending on your background and interests. The key is to be persistent, keep learning, and build a strong foundation in both technical and non-technical skills.
Data Scientist Roles and Responsibilities
Here is a rundown of a Data Scientist’s roles and responsibilities:
- Collect data from various sources, clean and organise it for analysis.
- Analyse data to identify patterns and trends, and build models to make predictions or solve problems.
- Translate complex data insights into clear and understandable formats for technical and non-technical audiences.
- Collaborate with stakeholders across departments to understand their needs and ensure their data solutions address them.
Fresher Data Scientist Salary in India
The average fresher Data Scientist salary in India can range from ₹3,00,000 to ₹7,00,000 per annum. Several factors can influence your salary, including:
- Skills and experience: Stronger programming abilities, relevant certifications, and a portfolio showcasing your Data Science projects can put you on the higher end of the range.
- Location: Major cities like Bangaluru, Mumbai and Delhi NCR typically offer higher salaries compared to smaller towns.
- Company size and industry: Large corporations and firms in high-growth sectors like technology may offer more competitive salaries.
Eligibility to Become a Data Scientist after 12th
The eligibility to become a Data Scientist after 12th standard generally involves two main aspects:
Academic Qualification:
- Minimum requirement: Most paths require you to have passed 10+2 from a recognised board, preferably with a Science background (Mathematics, Physics, and Computer Science are often preferred subjects).
- Competitive advantage: Having a good score (around 50% or higher, specific requirements may vary) can improve your chances, especially when applying for undergraduate programs or internships.
Skills:
While a formal degree is the most common path, some skills can demonstrate your aptitude for Data Science. Read the next part to check what are the key skills required to become a Data Scientist.
Skills Required to Become a Data Scientist
Here is a breakdown of the key skills required to become a Data Scientist:
Technical Skills:
- Programming Languages: Python (most popular), R, SQL are the holy trinity. Proficiency in these is essential for data manipulation, analysis, and modelling.
- Mathematics and Statistics: Linear Algebra, Calculus, and Probability are fundamental. Statistics courses will equip you with methodologies for data collection, analysis, and interpretation.
- Data Analysis Tools: Master tools like Pandas (data manipulation in Python), NumPy (numerical computing in Python), Matplotlib (data visualisation in Python) to effectively work with datasets.
- Machine Learning: Understanding of Machine Learning algorithms and their applications is crucial. Libraries like Scikit-learn (Python) provide tools for building and deploying these models.
- Big Data (Optional): Familiarity with frameworks like Hadoop can be beneficial for handling massive datasets.
Soft Skills:
- Communication: You will need to translate complex data insights into clear and understandable formats for both technical and non-technical audiences.
- Presentation and Storytelling: Being able to present findings in a compelling way is essential to get stakeholders on board with your recommendations.
- Problem-Solving: Data Science is all about solving problems through data analysis. Hone your critical thinking and problem-solving abilities.
- Curiosity: Genuine interest in data and a desire to keep learning is vital for staying updated in this ever-evolving field.
- Collaboration: Data Scientists often work with teams from various backgrounds. Effective collaboration skills are key to success.
By developing these skills, you’ll be well-positioned to embark on your journey towards becoming a Data Scientist.
FAQs on How to Become a Data Scientist After 12th
Q1. What are the key subjects to study in 12th grade for a Data Science career?
Ans: In 12th grade, focus on Math, Statistics, and Computer Science to build a strong foundation for Data Science.
Q2. Can PCB students study Data Science after 12th?
Ans: Yes, PCB students can. While Maths is the preferred subject choice, some colleges and universities accept Biology students with strong foundational skills in math and statistics.
Q3. What is the average salary for a data scientist fresher in India?
Ans: The average salary for a Data Science fresher in India ranges from ₹3 lakhs to ₹7 lakhs per annum.
Q4. What skills are important to become a successful data scientist in India after 12th?
Ans: For Data Science after 12th in India, focus on:
- Math & Stats: Strong foundation.
- Coding: Python is key.
- Data Tools: Pandas, NumPy for data analysis.
- Communication: Explain insights clearly.
Q5. What career opportunities are available for Data Scientists in India after completing 12th?
Ans: While a full-fledged Data Scientist role typically requires a degree, after 12th in India, you can consider:
- Data Analyst Assistant
- Junior Data Analyst roles (focus on data cleaning and basic analysis)
- Data Science internships (gain experience and build portfolio).
