I've recently been considering Galvanize Bootcamp as a way to grow my analytical toolset and pursue a data science career. I've realized in the last year how much I miss spending my days in spreadsheets to find business insights. Over the years my job has become less analytic, and more about driving results on timelines and keeping the project on schedule. I graduated from UCB as a Business Administration undergrad in 2015, and since then have been doing a slew of different jobs ranging from production planning, project management, negotiating/purchasing, and some analytics on the side. Let me know your experiences and what you think! Thanks for reading I've found on websites like Freelancer that there are some jobs for data cleaning, however I'm not sure it's as profitable as other fields of programming.
Bleep bleep codecademy android#
Java or Python? Android app development/backend web programming/etc or data cleaning and explorative data analysis projects? I find both interesting and fun, however DS is much more fascinating. However, I'm also strapped for cash (7EUR in my prepaid card.), so I thought that learning something that can also make me employable as a freelancer or part-time before getting my degree would be wiser. I wanted to explore the coding world on my own since my uni does not teach much on that (italy's odd, just had one programming course, C, so far), and DS seems a good choice since I found it fascinating and want to pursue it at the graudate level too.
Bleep bleep codecademy software#
I'm an undergraduate-level software engineering student, still far from getting my degree. What are some aspects about DS that can be done as a freelancer without a degree? What is a good place for me to start? I appreciate any advice. I don't mind paying for a resource if that's what it takes, plus a cert on my resume could convince people that I actually code. What are some good resources for me to start with? I am definitely not a noob to coding by any means, but I could definitely sharpen my skills. My plan is to learn a bit online and apply what I learn to my job (we're a startup so plenty of opportunities) while I build up experience and maybe try and apply to masters program in a year or two. Besides basic data cleaning in numpy and pandas, I don't know too much about data in a business setting. My original plan was to get a PhD in Physics, but I decided that that path wasn't for me, and I already had decent skills with python, so I figured Data Science would be a good path for me. Just graduated with a double major in Physics and Math. Fresh out of school, got a job as a data analyst, what do I do now?įirst off thanks for taking the time to read my post.
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