If you’re a current college student, you may already be thinking about how you’re going to find a job post-graduation. After all, even though there’s value to pursuing a bachelor’s degree or master’s degree beyond the doors that it opens for your career, many people attend college not just because they want to be learners, but because they want to find employment or reach the next level in their field of work. Especially in a booming industry like data science and analytics, many recruiters are looking for the sorts of data analysis experiences that set you apart from other applicants. This is where enrolling in an internship can be a major boon for your career in data science.
Just because an internship with a company that uses big data can be beneficial, that doesn’t mean that internship recruiters will pick you if you don’t have other relevant experience, too. While it’s true that an internship is a way for any student to become a deeper learner in the way their field of study intersects with the real world, an internship is also a partnership with a potential employer, and as such there are certain credentials and prerequisites that you can meet as an applicant to increase your chances of being selected as an intern.
One way to improve your chances of landing a prestigious internship in big data analytics or predictive analytics is to familiarize yourself with industry tools ahead of time. Learn more about how the right advance analytics software can not only supplement your coursework but ensure that you have the resume you need in order to be accepted into a great internship and ultimately find a career as a data scientist.
What industry tools can help you land a great internship?
If you’re pursuing an internship in the field of big data or data analytics, you’ll need to have skills that go beyond what you’re learning in your coursework. While some open source tools in a related field are free of charge already, the truly powerful data visualization and data management software solutions that leading businesses use are generally expensive to purchase an individual license for. As such, it’s hard to get these sorts of credentials on your resume, even if you’re in a computer science class.
A great example of a tool that actual data scientists use is any of the data software products developed by TIBCO. TIBCO is an industry leader in the data analytics sector, creating tools that leverage machine learning methodologies and natural language processing in order to use big data in exciting new ways. From companies like IBM to other enterprises, machine learning and advanced data analytics tools pull a lot of weight so it’s a good idea to familiarize yourself with these prior to applying to internships.
How do students qualify to learn expensive data analytics tools?
Of course, not everyone has the money to pay to learn these sorts of data analytics tools while they’re in college. College students don’t have a lot of money and, even if they’re studying computer science, they may not get all of the information they need about a certain system over the course of a semester. Thankfully, companies such as TIBCO offer a low cost Data Science license for students so that they can begin to learn about a new program in a hands-on way.
This allows them to even take additional online programs and tutorials or earn a data science certificate, all of which are the kinds of credentials that recruiters at internships look for. As long as you can prove that you’re attending one of many participating academic institutions, you’ll be able to qualify for a student license and ultimately get into an internship that makes your resume even more impressive.
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