10th Grader Aspiring Data Scientist: What's the Roadmap?

Ans: Hello! A career in data analytics is bright as it's a growing field. She should look at courses that are currently available on YouTube and similar platforms which are quick to consume. This will give her a sense of what she is stepping into, post which if she is looking at a formal education then she could look at Msc programs in Data Analytics which are credit bearing and would require her to devote about 10-12 months to study/work alongside studying.

Ans: Choosing Data Science after completing BCA (Bachelor of Computer Applications) is like embarking on a tech adventure where you learn to analyze information in a super-smart way. With a BCA background, diving into Data Science equips you with cool skills to make sense of big data and make clever decisions in the tech world.

Let’s explore the scope and opportunities for a career in Data Science after BCA:

What is Data Science?
Data Science is a field that uses scientific methods to extract valuable insights from different types of data, whether it’s organized, structured, or not. The goal is to gain important business insights by studying and analyzing large volumes of data, combining techniques from mathematics, statistics, artificial intelligence, and computer engineering. Data Scientists are skilled professionals who work with massive sets of both structured and unstructured data. They process, model, and analyze this data to develop practical plans for businesses and other organizations.

Skills Required for Data Scientist:
Data Visualization
Programming
Data Wrangling
Deep Learning
Machine Learning
Eligibility Criteria for Data Scientist:
Complete 10+2 from a recognized board with a minimum aggregate score of 50% or above.
Main subjects should include Mathematics, Computer Science, or Statistics.
Employment Opportunities:
Data Architect
Data Administrator
Business Intelligence Manager
Data Scientist
Data Analyst
Salary Insights:
Starting Salary: Around INR 5.75 LPA
Average Salary: Approximately INR 11.44 LPA
Highest Salary: Can go up to INR 34 LPA and above
How to Become a Data Scientist After BCA:
Pursue undergraduate degrees in Data Science, Computer Engineering, or another relevant discipline.
Attempt Engineering Entrance Exams to get into top data science colleges in India (e.g., JEE Main, JEE Advanced, GATE).
Consider certification programs to gain relevant skills.
Explore post-graduate degrees such as M.Sc Data Science or M.Tech Data Science.
Learn programming languages like R, Python, and SQL.
Job Sectors for BCA Data Science Graduates:
Healthcare and Pharmaceuticals
Telecommunications Sector
Industry Sector
Energy Sector
Indian Defence Forces
Automotive Industry, and more
Conclusion:
BCA Data Science offers a wide range of job opportunities in the IT sector. Graduates can work as Data Scientists, Machine Learning Engineers, Business Analysts, and more. The demand for data science professionals continues to grow, making it an exciting and rewarding career path!

Ans: As parents we are keen to think ahead for our children. Discuss with your daughter how she is liking the program, what are the options for students for further studies. Let her explore and share with you possibilities and how it matches with her interest.

Ans: Hello. To begin with, thanks for contacting us. It is good to hear that you are interested in pursuing data science abroad. Here is how you can proceed:
1. Focus on mathematics and related subjects that are required for studying data science. This would give you a strong foundation for your further studies in the field. Furthermore, coding is an essential part of data science. In fact, coding and programming languages such as Python, R, and SQL are quite common in data science.
2. You may start searching for undergraduate programmes with specialisations in data science, statistics, computer science, and related fields. An advantage of pursuing a programme abroad is that you will get plenty of internship and job opportunities.
3. Coming to the final part of your question, countries like the United States, the United Kingdom, Canada, Australia, and Germany are known for their excellent data science programmes.

For further assistance, you can get in touch with us.