•1 min read•from Data Science
Best way to get real experience over the summer?
Our take
As you prepare to embark on your master's program in data science, gaining real-world experience is essential for both building your resume and enhancing your skills. While traditional internships can be competitive, there are several alternative avenues to consider. Engaging in open-source projects, contributing to data science communities, or collaborating on research initiatives can provide valuable hands-on experience. Additionally, seeking freelance opportunities or participating in hackathons can further enrich your understanding and showcase your abilities to future employers.
I'm starting my master's program in data science in a highly regarded Ivy League University this coming fall. While I'm very excited, I was also hoping to get the opportunity to gain real world experience doing data science and get a head start on my incoming debt with an internship.
Unfortunately true data science internships seem few and far between. I apply to every new data science adjacent internship posting I see per day, but have only gotten an interview for a MLE related role in which they went with another candidate.
My question is: Besides internships, is there any way to gain real world experience to put on a resume?
As a disclaimer, I have already done personal projects, am on kaggle, and am aware of datakind. Any advice is much appreciated
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