What types of jobs am I suitable for after graduation?
I am taking data science and nlp curriculum, but I am not sure if i will be able to find a job in this field. I came from a non-tech undergrad program, and the current grad problem that I am enrolled in is related to educational tech, but I am taking many ml, ds, and nlp curriculum.
Data Science is a hot field, and it's valuable even from a non-technical undergrad program. Whatever your major is/was, your abilities from a data science knowledge perspective only enhance what you bring to the table. My major was nursing, and I am in Telecom/Technology, but I still use the skills I learned in Nursing for analysis/data science. What I learned about triaging (from nursing) alone has made my "different" background something that's really paid off.
Visit your schools' counseling teams, too.
My advice would be not to let the specific degree(s) serve as a roadblock-- instead, gain the technical acumen through experience, and collect specific projects you have completed. Along with amping up your resume, creating a portfolio of data science work have you done is a great way to showcase your skills & set you apart.
Best of luck!
LeAnn recommends the following next steps:
Eric J’s Answer
As a young adult my mother always told me to get the worst house in the best neighborhood over the best house in the worst neighborhood. This applies to jobs also. Find a company you believe in, that you have room to grow, and get your foot in the door doing any job you can get. You probably shouldn't start your career in your final dream job because that means it probably wasn't that well sought after if you could get it with no experience. Something to think about and best of luck to you!
There are many people out there working in Data Science or Business Intelligence that come from a formal education background that may not relate or cross over into that field. I'm talking about those with degrees in things like Chemistry, Philosophy, Liberal Arts, and so on. Trying to break into the Data Science field requires you to be able to both explain and demonstrate your understanding of the various principals and technologies/algorithms involved with the field during interviews. If, during your classes, you've done projects related to Data Science, keep those handy and reference them as examples of your experience and what you accomplished during your coursework. Be as specific as possible about the experience - What were you trying to solve for? How did you approach the problem? What was the outcome? What did you learn from the project? Sharing these answers to interviewers will show that you are familiar with the subject matter and will be able to perform in the role.
Beyond formal education, one of the most important things in any kind of Analytics role is the ability to critically think about problems and their solutions. This is more of a soft skill that you work on over time that can't be as easily taught but is invaluable in the industry. Coming at problems from different angles and trying to derive creative solutions will make you a valuable asset to any company, as well as any industry you work in.
To be more concise to your question: With the coursework you've listed, I think you could easily find roles within Data Science, Business Intelligence, or Data Engineering. All three are closely related but focus on different aspects of the data itself. Think about which of those you'd be most interested in and focus on the tools and languages you might need to know. But with that said, once you're familiar with one segment, transitioning over to another is much easier if you decide you want to pivot.
I hope this was helpful - best of luck to you in the rest of your education and start of your career!
There are definitely many fields outside of education that your career choice would apply to.
Companies in the financial sector, content management and others would be interested in your skills.
Look at any of the following areas for example:
Financial services - e.g., Black Rock
Audit firms - e.g., Deloitte, E&Y etc
Consulting firms - e.g., Deloitte Consulting, Anderson, etc
I'd suggest looking at the recruiting sites of any of any of those companies for analyst or technology roles and think about how your skills could meet the needs of the job descriptions posted.
Good luck with your search.
as the other answers already suggest, Data Science is field with a positive job perspective for the future.
But I feel from your question that you are not sure if you fulfill all requirements coming from a non tech background.
I studied languages and culture and worked at a university before I considered switching to the eCommerce/Tech Business (first as an Editor, later as Technology Partner Manager). Although I was attracted by the eCommerce business I was unsure if i would bring all required qualifications for this branch because I never was a techie.
I then talked to people from inside the business and we mapped my skills to the requirements of different roles (technical editing / product marketing etc.). That helped me a lot to understand how I could provide value in different roles.
I got the job and started soaking up knowledge and training my skills, but I also felt that I was able to bring skills from my former job at university, which I wouldn't have thought before.
Not having a prototypical background doesn't disqualify you, it may even be an advantage, if you know how to play the card.
My advise in your case:
- Do some high level research about job profiles that match your current study profile & that you're interested in
- Read and reflect the job profile and requirements (are you interested by such an occupation. Could you start tomorrow or where do you have gaps that you'd need to close?)
- Get in touch with people that have work in this role and ask them if they share "real life insights" about their work.
- Discuss your skill set with them to know if they think you could start directly or need to skill up in some fields.
- Ask them if you can shadow them at work or even better try to do an internship.
I suggest you check out a few different things, but no matter what you do, but you 100% in to it and learn as much as you can.