If you want to become a data science then here in this blog post we try to cover How to Become Data Scientist in India After 12th related all query.
This will really become a good news for you as we cover all the related information about How to Become Data Scientist in India After 12th, so read this complete post to learn more.
Data science is a rapidly growing field with a high demand for skilled professionals. If you are interested in a career in data science, there are a few things you can do to get started after 12th.
1. Choose the right subjects in 12th
The first step is to choose the right subjects in 12th. If you want to become a data scientist, you will need to have a strong foundation in mathematics, statistics, and computer science. Some of the best subjects to choose in 12th include:
- Mathematics
- Statistics
- Computer Science
- Physics
- Economics
- Business Studies
2. Earn a bachelor’s degree in data science
Once you have completed 12th, you will need to earn a bachelor’s degree in data science. There are many universities in India that offer data science programs. Some of the top universities for data science in India include:
- Indian Institute of Technology Bombay (IIT Bombay)
- Indian Institute of Technology Delhi (IIT Delhi)
- Indian Institute of Technology Madras (IIT Madras)
- Indian Institute of Science Bangalore (IISc Bangalore)
- BITS Pilani
3. Gain experience through internships and projects
In addition to your degree, it is also important to gain experience through internships and projects. This will give you the opportunity to apply your skills in a real-world setting and to network with other data scientists. There are many ways to find internships and projects, such as:
- Networking with your professors and classmates
- Searching online job boards
- Attending data science meetups and conferences
4. Get certified
There are a number of data science certifications available that can help you to demonstrate your skills to potential employers. Some of the most popular data science certifications include:
- IBM Data Science Professional Certification
- Google Data Analytics Professional Certificate
- Microsoft Certified Data Scientist Associate
- SAS Certified Associate in Data Science
5. Stay up-to-date on the latest trends
The field of data science is constantly evolving, so it is important to stay up-to-date on the latest trends. You can do this by reading industry blogs, attending conferences, and taking online courses.
Conclusion:
Becoming a data scientist in India after 12th is a challenging but rewarding path. By following the steps outlined above, you can increase your chances of success in this exciting field.
Here are some additional tips for becoming a data scientist in India after 12th:
- Start early. The sooner you start learning about data science, the better. There are many resources available online and in libraries that can help you get started.
- Get involved in the community. There are many data science communities in India that can provide you with support and networking opportunities. Attend meetups, conferences, and online forums to connect with other data scientists.
- Don’t be afraid to experiment. The best way to learn data science is by doing. Try out different projects and see what you enjoy the most.
- Be patient. It takes time and effort to become a data scientist. Don’t get discouraged if you don’t see results immediately. Just keep learning and practicing, and you will eventually reach your goals.
How Many Years Does it Take to Become a Data Scientist in India
The time it takes to become a data scientist in India depends on your individual circumstances and goals. If you already have a strong foundation in mathematics, statistics, and computer science, you may be able to become a data scientist in as few as 2-3 years. However, if you need to start from scratch, it may take you 5-7 years to become a data scientist.
Here is a possible timeline for becoming a data scientist in India:
- Year 1: Complete a bachelor’s degree in data science or a related field.
- Year 2: Gain experience through internships and projects.
- Year 3: Earn a master’s degree in data science or a related field.
- Year 4: Gain more experience through internships and projects.
- Year 5: Start applying for data scientist jobs.
Of course, this is just a general timeline. The actual amount of time it takes to become a data scientist will vary depending on your individual circumstances. However, if you are willing to put in the time and effort, it is definitely possible to become a data scientist in India.
Data Scientist Salary
The salary of a data scientist in India varies depending on their experience, skills, and location. According to Glassdoor, the average salary for a data scientist in India is ₹12,00,000 per year. However, salaries can range from ₹5,00,000 per year for entry-level data scientists to ₹25,00,000 per year for experienced data scientists.
Here is a breakdown of the average salary for data scientists in India by experience level:
- Entry-level: ₹5,00,000 per year
- Mid-level: ₹10,00,000 per year
- Senior-level: ₹15,00,000 per year
- Lead data scientist: ₹20,00,000 per year
- Chief data scientist: ₹25,00,000 per year
The salary of a data scientist can also vary depending on their location. Data scientists in Mumbai and Bangalore tend to earn higher salaries than data scientists in other parts of India.
Here are some factors that can affect the salary of a data scientist in India:
- Experience: The more experience a data scientist has, the higher their salary will be.
- Skills: Data scientists with specialized skills, such as machine learning or artificial intelligence, can earn higher salaries.
- Location: Data scientists in major cities tend to earn higher salaries than data scientists in smaller cities.
- Company: The company a data scientist works for can also affect their salary. Data scientists who work for large, well-known companies tend to earn higher salaries than data scientists who work for smaller companies.
If you are interested in a career in data science, it is important to be aware of the salary range for data scientists in India. This will help you set realistic expectations for your salary when you start applying for jobs.
Which Degree is Best for Data Scientist
There is no one “best” degree for data scientists, as the best degree for you will depend on your individual skills and interests. However, some of the most common degrees for data scientists include:
- Bachelor of Science in Data Science: This degree program will provide you with a strong foundation in the fundamentals of data science, such as statistics, machine learning, and artificial intelligence.
- Bachelor of Science in Computer Science: This degree program will teach you the fundamentals of computer science, which is essential for data scientists who want to work with data at scale.
- Bachelor of Science in Mathematics: This degree program will provide you with a strong foundation in mathematics, which is essential for data scientists who want to understand the statistical concepts behind data science.
- Master of Science in Data Science: This degree program will provide you with a more advanced understanding of data science, including topics such as big data, machine learning, and artificial intelligence.
- Master of Science in Computer Science: This degree program will provide you with a more advanced understanding of computer science, which is essential for data scientists who want to work with data at scale.
In addition to these traditional degrees, there are also many online and boot camp programs that can teach you the skills you need to become a data scientist. These programs can be a great option if you want to learn data science quickly or if you don’t have the time or resources to pursue a traditional degree program.
Ultimately, the best way to decide which degree is right for you is to consider your individual skills and interests, as well as your career goals. If you are not sure which degree is right for you, I recommend talking to a data scientist or a career counselor.
Here are some additional tips for choosing a degree in data science:
- Consider your career goals. What do you want to do as a data scientist? Do you want to work in a specific industry, such as healthcare or finance? Or do you want to work in a specific area of data science, such as machine learning or artificial intelligence?
- Consider your skills and interests. What are you good at? What do you enjoy learning about?
- Do your research. Look at different degree programs and compare their curriculums. Talk to data scientists who have different degrees and see what they recommend.
- Don’t be afraid to experiment. If you’re not sure which degree is right for you, start by taking some introductory courses in data science. This will give you a taste of the field and help you decide if it’s right for you.