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Mayank Kumar  |192 Answers  |Ask -

Education Expert - Answered on Apr 10, 2023

Mayank Kumar is the co-founder and managing director of upGrad, a higher EdTech company. With over 10 years of experience in the education sector, Kumar can offer guidance about degree courses, campus, job-linked and executive programmes and studying abroad.An MBA graduate from ISB Hyderabad, he holds a BTech in mechanical engineering from IIT Delhi.... more
Suraj Question by Suraj on Apr 08, 2023Hindi

I want to get job in data science from non technical background. What should i do? Currently i am chemistry graduate.

Ans: Hi! You should first understand what is it in data science that you would like to work on. There are multiple free courses that will give you this clarity. Once done, I will recommend you to take up a Masters in Data Science that is offered by many online as a degree in Data Science. Switching from Chemistry to Data science since they are different fields maybe challenging but I would highly recommend looking at doing a few free courses to understand your skill level and dive deeper into the areas where you think you lack. It'll be easier for you when you study for your Masters then

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Harsh Bharwani  |56 Answers  |Ask -

Entrepreneurship Expert - Answered on Feb 17, 2023

Asked by Anonymous - Feb 10, 2023Hindi
Dear Harsh, I am interested in data science. Can you please give me some guidance how to pursue a career in it?
Ans: Pursuing a career in data science is a great choice, as it is a growing field with plenty of opportunities. Here are some steps you can take to get started:

Develop your skills: Data science requires a strong foundation in mathematics, statistics, and programming. Take courses in these subjects, either through a formal degree program or through online courses and tutorials. You'll also want to become proficient in data analysis tools like Python, R, and SQL.

Build a portfolio: Employers want to see what you can do with data, so building a portfolio of data science projects is an excellent way to showcase your skills. Start with small projects that interest you, such as analyzing a dataset or building a predictive model. Be sure to share your work on platforms like GitHub, Kaggle, and LinkedIn.

Gain experience: Look for internships, freelance projects, or part-time work in data-related roles. You can also volunteer your skills to non-profit organizations or work on open-source projects to gain experience and build your network.

Network: Attend industry events, join data science communities on Telegram and Discord, and connect with professionals on LinkedIn. Networking is crucial in any field, and it can help you learn about job opportunities and gain insights from experienced data scientists.

Keep learning: Data science is an ever-evolving field, and there is always something new to learn. Stay up-to-date with the latest tools and techniques by reading industry publications, attending conferences, and taking continuing education courses.

By following these steps, you can gain the skills, experience, and network you need to pursue a successful career in data science. Good luck!

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Mayank Chandel  |1518 Answers  |Ask -

IIT-JEE, NEET-UG, SAT, CLAT, CA, CS Exam Expert - Answered on Jul 15, 2024

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