How To Gain Experience as a Fresher in Data Science Field.

Shruthi Jain
4 min readMay 23, 2021
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Data Science is a field where if you go around check for job roles you will mostly see Junior, Senior, Lead Data Scientist roles offered. A data scientist is someone who is an expert in every life cycle of data science project workflow. but honestly, it is kinda unrealistic for a single person to know every single thing in the data world, and being a Fresher in this field we need a lot of experience to get a proper job as a data scientist so what is the best way to start your fresher career and gain experience?

There are many ways to to gain experience in Data Science field and the most common way is Internship.

1. Internship

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An internship is a period of work experience offered by an organization for a limited period of time. In this way, a fresher can gain experience by working as an intern in a domain they want to work in future and kinda get training and work experience at the same time. An internship is where you can learn and grow also understand how things work in an organization. Some internships are very beneficial because if you perform well they might convert the internship to a full-time job.

2. Freelancing

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Working on freelancing project is best way to gain experience also earn money from it. freelancer or freelance worker, are terms commonly used for a person who is self-employed and not necessarily committed to a particular employer long-term. As Freelancer you can work on many different domain projects and work independently and gain experience.

Tips: If you think it’s too soon to work on project alone then here a trick connect with someone who is already doing freelancing projects in data science field and ask them if you can join and work on projects to together to gain experience and knowledge.

3. Projects

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Learning data science skills is of no use if you don’t implement them and you will only know your strength and weakness if you implement your projects from End to End. Working Projects gives your understanding of the workflow of data science projects, the challenge you will face, and how to solve it. Projects are also very important to talk about in your interview so uploading it on GitHub and documenting your whole project on the repository’s Readme so that you can explain your project in a better way and gives a good impression.

4. Networking and Connecting

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LinkedIn is the best platform to connect and network with people who work in a similar field or have the same interest as yours. now you might think about how Leveraging Networking can gain experience ?. Very easy When you connect with People who have more experience than you, you should Network with them, start a conversation and ask them about their experiences in This field or job role. you will be surprised to see so many revelations about people perspective and current reality of job roles and how things works .this will be an incredible knowledge to take advantage of.

5. Following Data Content Creator

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Anyone who creates very good content in the data field. Can be about technical stuff or some reality check or some amazing tips & tricks. This knowledge will help you somewhere in your work and projects. It will make you stay updated about different open source projects or tools in trend or new ideas for your data science projects. Anything is possible.

In conclusion i have seen many people gaining experience from these solutions.Internship is for sure the top one but if you think you are not able to get a internship then go for the other ways mentioned above to improve your skills and gain experience.

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Shruthi Jain

🚀 Explore data analytics & machine learning with a 4 year experience ME 😄 ! From non-IT to expert, I share insights & productivity tips.