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Mayank

Mayank Rautela  |238 Answers  |Ask -

HR Expert - Answered on Mar 26, 2023

Mayank Rautela is the group chief human resources officer at Care Hospitals.
A management graduate from the Symbiosis Institute of Management Studies with a master's degree in labour laws from Pune University, Rautela has over 20 years of experience in general management, strategic human resources, global mergers and integrations and change management.... more
Nitin Question by Nitin on Mar 25, 2023Hindi
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I am 43 doing business in medical and i have done diploma in pharmacy want to switch to data science and do job

Ans: You can do that by doing some specific courses in data science. It will be challenging as you will compete with fresh graduates who will be highly skilled
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Harsh

Harsh Bharwani  |56 Answers  |Ask -

Entrepreneurship Expert - Answered on Feb 17, 2023

Asked by Anonymous - Feb 10, 2023Hindi
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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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