These are chat archives for FreeCodeCamp/DataScience
discussion on how we can use statistical methods to measure and improve the efficacy of http://freeCodeCamp.com
I'd like to learn about data science. Could you, please, reffer me what should I read and/or watch (prefferably freely available) to get from (nearly) 0 in this domain to as high of a level as possible?
Sidenote: I'm a programmer, and my favorite languages for web are php, mysql, html, css, js. Level: Between Junior (lack of hands-on experience) and Intermediate (theoretical easily-appliable knowledge).
@sapioit hi there! It'll depend on what you hope to do in data science? If you have a specific application you'd like to work on (e.g. text mining, speech analysis, image recognition, etc), then it'll be easier to focus your efforts.
However, I would generally recommend this free book, An Introduction to Statistical Learning. It goes over statistical methods of data science high enough level for people to understand to be useful, but not too low that you get caught in too much math.
Well, I know that having data to analyse is important, I know that analysing those data is more important, but I also know that the most important is that knowing what metrics to use is the most important thing.
I'm planing to either be in the leading council, the CEO or the owner of a startup-company which would probably start as a one-man-startup, and being a pmultipotentialist](https://www.ted.com/talks/emilie_wapnick_why_some_of_us_don_t_have_one_true_calling/transcript?language=en#t-3417) I'm not fond with letting people do things I have (absolutely) no idea of, so I would need to know what data to visualize and to use to optimise the startup (could be a non-startup business, as well) in order for it to not fail, to say the least.
It's (relatively) easy to get the data and making a few graphs, but the most important thing is to have the right metrics for those data.