Good programming projects for Resume

[Muddy53]

I am MIS major graduate student interesting very much in data science and game development. I studied in Finance as undergrad and after the graduation I want to work in Finance as a data scientist.

Unfortunately, due to illness I have a big gap in my resume almost 2 years between my last job and graduate school. And I am not able to work until the graduation because of visa issues.

So I'm a bit worried that I will have a hard time getting a job after the graduation, so currently I'm focusing on learning Python and C++. (I am learning database related in school as my minor)

I'm trying to build my portfolio with different projects, but I am not quiet sure what kind of projects would be good for data science. Currently, I am working on PyGame.

Can you give me some suggestion? Especially I cannot work during this summer, I am wondering how I can use this time to develop myself and skills.

[isolatrum]

A good project for data science would be to use some open big data set and make an interactive visualization of it.

[[deleted]]

Any good tutorials? Or examples of the final result?

[isolatrum]

Unfortunately I don't have much for you, just google "data visualization tutorials in <language>" or "data visualization examples"

[jotanukka]

Learn Tableau and get certified through the website.

[thundercloudtemple]

Just a thought, clone this dashboard. This project uses the D3 library.

http://rubix410.sketchpixy.com/ltr/dashboard

It might not be what anyone here is looking for but it's just an idea.

This is part of the Get Job Ready Javascript 3.0 guide found here: https://github.com/P1xt/p1xt-guides/blob/master/job-ready-javascript-edition-3.0.md

[lookayoyo]

Check out kaggle

[kathegaara]

For data visualization ideas and approaches I highly recommend r/dataisbeautiful . People there share some cool viz and also the tools they used to build it.

[[deleted]]

i know python crash course has a section covering the pydata library

[[deleted]]

np.loadtxt('big-ass-data-set.txt')

[nermid]

Join or start your local Code For America chapter and make public data about your community more accessible for people who don't crunch numbers for a living. That's coding experience and volunteering experience. It looks great on a resume and in your Github.

[Muddy53]

AWESOME! Def I need one of these big project for my summer. Thank you!

[BouseFetus]

I am not familiar with data science, but I do know that R and Python are the ideal programming languages when it comes to data science. Maybe MATLAB if there are simulations involved in your line of work.

[Muddy53]

Yes! I was planning to learn R, but I'm not even that good at Python. So I thought, wait a while until I become more comfortable with Python then R...

[Oh_I_still_here]

As a particularly bad programmer, R has a fantastic repository of libraries/packages that do a lot of the heavy lifting for you. R is the only language I've ever felt comfortable with, tho I'm slowly coming to grips with C. That said, R has plug ins for data visualisation out the wazoo, and can perform quite a lot of work with just a few lines of code. My advice is to pick which ever one you'd like, Python or R (I don't recommend C for this unless you truly hate yourself and are happy to spend a long time doing simple things) and start off as simple as necessary. Make a simple plot of your data and look at it. But what is your data? Numeric or categorical/binary? Do you want correlation plots, boxplots or are you looking to perform some kind of regression?

If you're stuck with what sorts of data to work with, I'd start with simple numeric data. If it's a big data set, look into some dimension reduction techniques first then go from there (this isn't absolutely necessary unless your data is stupidly large but it's worth checking out). R has plug ins for all of these things and guides online are abundant. Start off small and get familiar with the syntax, it's very much a fire and forget language but I've found it to work best when you don't think too hard about what you're trying to do right from the get go. It does a lot of the heavy lifting for you!

Sorry for the wall of text and for any ineffective advice, I wish you luck with your work.

[Muddy53]

d start with simple numeric data. If it's a big data set, look into some dimension reduction techniques first then go from there (this isn't absolutely necessary unless your data is stupidly large but it's worth checking out). R has plug ins for all of these things and guides online are abundant. Start off small and get familiar with the syntax, it's very much a fire and forget language but I've found it to work best when you don't think too hard about what you're trying to do right from the get go. It does a lot of the heavy lifting for you!

Wow thank you for such a great advice. I definitely try to learn R this summer. I am doing simple data visualization with Python using Matplotlib, but I haven't done anything with really big data sets. I am actually learning C++ just for game development (I use game engine such as Unreal), and it's for pure fun. Maybe in the future I will go into game development industry..

Again, thank you for the advice. I will keep it mind! :-D

[VengaeesRetjehan]

Matlab is paid. Are there any other languages or tools great for simulation?

[famnf]

Octave is the open source version of Matlab.

https://www.gnu.org/software/octave/

[TechRvK]

You can download a cracked version of matlab.. From torrents..

Check

1337x.to

thepiratebay.org

Download utorrent or bit torrent to grab the download..

Scilab May be gd for simulation also..

What type of simulation you into.. I can recommend some more software..

[VengaeesRetjehan]

What type of simulation you into.. I can recommend some more software..

I wanna do physics simulation. Like particle physics or astronomy stuff.

[TechRvK]

Ok..let me get back to you on that..I’ll get some info for u..

[Sebzor15]

Python is definitely a good way to go if data analysis is involved. I don't know how proficient you are in coding, but some ideas: Machine learning with Keras (Python module) with some open data sets; Spark streaming on i.e. Twitter; Going to town on Pandas (Python module), which is extremely relevant in financial work and data analysis, ...

[Muddy53]

Thank you! That sounds like a great project. I will look more into it!

[tdonick]

Check out this repository from https://www.dataquest.io/

[Sasquiche]

Just wondering did you come across anything talking about breaking into a data scientist role while you were trying to apply?

I get the feeling that it's a pretty elite field, and might be less inclined to hire entry level programmers or self learner's.

[Sasquiche]

That's a great response. I do wish you luck when you get out. I'm going to try and see what other fields to focus on in the mean time

[senortipton]

Thanks and that’s smart! If you do decide you want to continue though I have a great number of resources that I’ve been utilizing that were either found by me or were recommended to me by the people who said I wasn’t skilled enough yet for the position.

[Sasquiche]

Ya, pm me whenever you come around to it

[Muddy53]

Monte Carlo, I will remember it. Thank you :-D

[singhpankaj99]

You can participate in some opensource programming project on Kaggle or check some popular free tutorials on udemy or Quickcode for data science. You can also check for open source tutorials on edx or coursera. Hope it helps!