These are chat archives for FreeCodeCamp/DataScience

30th
Aug 2018
alinaalam
@alinaalam
Aug 30 2018 11:20
hi everyone
I know this question has been asked a lot, but does anyone have good resources to get started with Data Science?
Alice Jiang
@becausealice2
Aug 30 2018 15:43
@alinaalam Hello and welcome! It really depends on where you want to go in the field; "data science" is a deceptively massive umbrella term. I personally think everyone should stick their fingers into a bunch of pies and experiment before deciding where to focus (which they can always change later, as well). I feel like there are a few objective fundamentals to have down for any niche, though, like get your statistics on point, pick a programming language (python and R are currently the two most popular) and learn the fundamentals (which means you can create code and know how to search for help, not necessarily that you can rebuild google and apple blindfolded), and learn how to create effective visualizations.
@evaristoc has been missing for quite some time, but he, @GoldbergData , @erictleung , @mesmoiron are usually pretty active here and can lend more insight
Eric Leung
@erictleung
Aug 30 2018 16:20
@alinaalam welcome! Here's a couple resources we've collected as a reference for you to start exploring
@alinaalam as @becausealice2 pointed out, how to get started with data science depends on your background and where you want to go. There are discussions about whether we should be more specific with "data science" job roles, as there are clearly different sorts of jobs e.g. data engineer vs data analyst.
Eric Leung
@erictleung
Aug 30 2018 16:31
Random, but excellent book on statistics by a prominent statistician from Stanford http://web.stanford.edu/class/bios221/book/ Makes use of R code too for a more applied interactive introduction to statistics.
Alice Jiang
@becausealice2
Aug 30 2018 17:38
I wonder how many people scroll through that kdnuggets list to decide what they want to do in DS and see the salary comparison at the bottom, scroll up and say "data scientist" :joy: