These are chat archives for FreeCodeCamp/DataScience

1st
May 2016
Quincy Larson
@QuincyLarson
May 01 2016 01:02 UTC
@zcassini I agree. Yes, @koustuvsinha and @erictleung and I will try to get together and get the dataset into its final state for analysis ASAP
Zac Cassini
@zcassini
May 01 2016 01:03 UTC
sounds good
Quincy Larson
@QuincyLarson
May 01 2016 01:03 UTC
Once we have the full list of questions (working on it now) we'll have a much better idea of what types of charts to use for each.
Zac Cassini
@zcassini
May 01 2016 01:04 UTC
people love pie charts. thats all i know.
Victor
@Evaderei
May 01 2016 03:20 UTC
Is anyone else doing Intro to Data Science (University of Washington) online course?
Gary Skoglind
@gskoglind
May 01 2016 03:25 UTC
@Evaderei I was thinking about it... Have you started it?
Victor
@Evaderei
May 01 2016 03:25 UTC
@gskoglind Yep, started it 2 weeks ago went for 1 week, and then took a break
I'm thinking of going back into it
Wanna work on it together? @gskoglind
Gary Skoglind
@gskoglind
May 01 2016 03:27 UTC
@Evaderei I'm not in it yet...
Victor
@Evaderei
May 01 2016 03:28 UTC
What's stopping you from getting into it? @gskoglind
Gary Skoglind
@gskoglind
May 01 2016 03:28 UTC
@Evaderei have you don't anything on kaggle?
Victor
@Evaderei
May 01 2016 03:28 UTC
Nope @gskoglind
Gary Skoglind
@gskoglind
May 01 2016 03:31 UTC
@Evaderei Been looking at other things...
Victor
@Evaderei
May 01 2016 03:31 UTC
Working on FCC curicullum? @gskoglind
Gary Skoglind
@gskoglind
May 01 2016 03:32 UTC
Yes... @Evaderei
Victor
@Evaderei
May 01 2016 03:32 UTC
Hmm, why is data science itneresting to you? @gskoglind
Gary Skoglind
@gskoglind
May 01 2016 03:33 UTC
Information, and data, is the future... @Evaderei
Victor
@Evaderei
May 01 2016 03:33 UTC
I've read that most of a data science job involves data wrangling (looking through a mess of data, and changing it into a useful form) @gskoglind
@gskoglind I'm not so confident about pursuing data science myself, honestly haha
Gary Skoglind
@gskoglind
May 01 2016 03:34 UTC
I don't mind that, but bring data science to a small town, teach others, and become the expert... @Evaderei
Victor
@Evaderei
May 01 2016 03:34 UTC
@gskoglind What do you hope to achieve by becoming the expert?
@gskoglind Money, understanding, expertise?
Gary Skoglind
@gskoglind
May 01 2016 03:36 UTC
I've already had a career... Knowledge transfer will help others understand why this is important... Not just a job... @Evaderei
Victor
@Evaderei
May 01 2016 03:36 UTC
@gskoglind What is "this"?
Gary Skoglind
@gskoglind
May 01 2016 03:36 UTC
I want to keep up with the tools, and resources available to anyone...
Victor
@Evaderei
May 01 2016 03:37 UTC
Tools specific to doing data science? @gskoglind
Gary Skoglind
@gskoglind
May 01 2016 03:38 UTC
Data Science is where my interests are, but, open learning, outside of a formal degree is where things are going...
Victor
@Evaderei
May 01 2016 03:40 UTC
Are you working to help develop open learning? That's what I believe you're saying? @gskoglind
Gary Skoglind
@gskoglind
May 01 2016 03:45 UTC
Yes, that is what I want to do, and help in our local community...
Kristin Drysdale
@kymanikd
May 01 2016 03:49 UTC
Just want to pipe in a bit to say congratulations to everyone working on this. I'm probably best suited to help promote at this point, though I'm following along. ☺ -→ I can't wait to read the Medium post and share it!!
Gary Skoglind
@gskoglind
May 01 2016 03:58 UTC
@kymanikd I'm looking forward to the Medium post too!...
Kristin Drysdale
@kymanikd
May 01 2016 04:03 UTC
Thanks @gskoglind ! My reasons for being here sound very similar to yours, btw. Although I suspect that probably the vast majority who are drawn to Free Code Camp have noble ambitions of improving our communities. ;)
CamperBot
@camperbot
May 01 2016 04:03 UTC
kymanikd sends brownie points to @gskoglind :sparkles: :thumbsup: :sparkles:
:star: 275 | @gskoglind | http://www.freecodecamp.com/gskoglind
Gary Skoglind
@gskoglind
May 01 2016 04:07 UTC
@kymanikd I've lived the past, and have a huge curiosity of the future... I've lived globally, but I'm trying to act locally, and provide an example... "If I can do it, anyone can"...
Kristin Drysdale
@kymanikd
May 01 2016 04:09 UTC
You sound like a man on a mission, @gskoglind . Wonderful aspiration!
Gary Skoglind
@gskoglind
May 01 2016 04:10 UTC
@kymanikd Haha, we'll see what happens...
Kristin Drysdale
@kymanikd
May 01 2016 04:19 UTC
@gskoglind - aye, and now with greater ease. ;) ...I just followed you. =D
Quincy Larson
@QuincyLarson
May 01 2016 05:37 UTC
@kymanikd @gskoglind I'm working on the Medium post now. I'll share a draft here prior to publishing :)
Gary Skoglind
@gskoglind
May 01 2016 06:35 UTC
@QuincyLarson Very cool!... Looking forward to it!...
Daniel
@profoundhub
May 01 2016 07:44 UTC
all this sounds really interesting!
evaristoc
@evaristoc
May 01 2016 08:36 UTC

@Evaderei indeed: data wragling is tedious but necessary... most of the online datascience projects you find out there, even kaggle, are excellent but they ship pre-processed data to some extent. We don't have that here. Even simple data, as that one for the Survey require some wrangling.

For the Survey project we are trying to provide as much as possible pre-processed data but please fill free to start working on some questions.

@gskoglind agree with @kymanikd: a man with a mission! Hope we can help!

@kymanikd how is the training? I am really interested, I think it makes a good topic to be commented and discussed here...

@zcassini: apple pies are the best! :)

Victor
@Evaderei
May 01 2016 08:37 UTC
@evaristoc Let's assume i'm a wrangling "god", would the subsequent steps in the data science method be more fun in your opinion?
I'll let you define "fun" ofc
evaristoc
@evaristoc
May 01 2016 09:00 UTC

@Evaderei

"Fun" in this case is to obtain reliable, meaningful results after you hard work and having a dataset that allows you to make clear, to-the-point visualizations with easy.

Wrangling is to make the raw dataset accessible to your tools and functionalities, to detect issues that invaliate your analyses, and to facilitate discovery.

Victor
@Evaderei
May 01 2016 09:07 UTC
I have qualms about diving into learning data science. Working on the FCC curicllum has showed me that I enjoy making things (working on different piece of an app to have all the pieces coalesce and work together at the end feels awesome). I feel as if I get good at data science and work purely in that area, I won't get to work directly on making things (namely, parts that people will see, touch, or notice in a project, an app for example). What would you suggest I do? @evaristoc
evaristoc
@evaristoc
May 01 2016 09:57 UTC

@Evaderei unless you have a strong interest in information discovery, statistics, algorithms and data engineering, I think it is better not to get into DS in depth. I would suggest you to get an overall idea instead. I found the Howe's course (the WU coursera training you might be following) one of the best in the area, so take it if what you want is just an introduction.

In data science and data analytics you might not be building an app in several jobs, no. You will develop other products, like algorithms to improve the presentation of a recommender or how better clustering the data or doing a better forecast. But think about kaggle or many other cloud SaaS data-driven projects, if that is what you are interested....

However, think that you can get into data analytics at any point of the route. You can always partner with someone else and complement each other. You might, for example, specialise in building data-driven apps without touching the analytical part. It sounds easy, but it is not: you may require certain level of training in terms of UX, API's, etc to make a good project. (this is why I am in FCC by the way...).

But check your goals: If you want examples of what data scientist and data analysts in general could do, just check the tableau public gallery (I have been doing that just few minutes ago...):
https://public.tableau.com/s/gallery

If you don't get excited with what people have been doing in that gallery, or if you don't care about the impact of Tableau as a tool and if kaggle or drivendata don't mean anything to you, if you cannot image yourself building an IoT application, then you should be trying something different.

evaristoc
@evaristoc
May 01 2016 10:24 UTC
@Evaderei my project for this room has always been to encourage working on data-driven projects where people can contribute at any stage with the best of their skills and interests. Take this room as an opportunity to build small app's or projects based on data, alone or with other people. If your interest is not DS or data analytics in depth, perhaps trying to build an example of a project based on data analysis, even including better algorithms or technologies to analyse the data, could work for you.
It is about learning by doing, and studying the topic to get better at it...
evaristoc
@evaristoc
May 01 2016 11:41 UTC

People

THE DSR WEEKLY DIGEST:

DSR (DataScience Room) is an effort to gather campers of all levels and specializations willing to engage in discussion, collaboration and practice of data-related projects, with preference for using FCC data.
Previous Digest
Tentative DSR site: http://evaristoc.github.io/FreeCodeCamp_DSR/


List of Week Contributors:

evaristoc, sarony, jameswinegar, Evaderei, gskoglind, kymanikd, koustuvsinha, profoundhub, zhik, Mashadim, zcassini, QuincyLarson, theflametrooper, erictleung, MarcelSchulz, darwinrc


4 Popular Messages:

  • Content: Hey Data Science enthusiasts, I had a good...; Views: 29; msgID: 572538d22624e2150740c6e3.
  • Content: For those interested in Machine Learning Theory: I have...; Views: 17; msgID: 5721cdf28a90ed791313690b.
  • Content: <hyperlink>...; Views: 16; msgID: 571e65c79689a5440f7b5762.
  • Content: regarding the website itself, I...; Views: 18; msgID: 571fbd02c388e4fe099a89cd.

5 Links from Last Week (random selection):

['https://gitter.im/FreeCodeCamp/GameDev', 'https://medium.freecodecamp.com/being-a-developer-after-40-3c5dd112210c#.p07pixihn', 'http://www.r-bloggers.com/the-one-machine-learning-concept-you-need-to-know/', 'https://www.youtube.com/watch?v=yDLKJtOVx5c&list=PLD0F06AA0D2E8FFBA', 'https://youtu.be/f7vO05pqft8']

(For a longer list check: http://evaristoc.github.io/FreeCodeCamp_DSR/update )


SOME HOT KEYWORDS to find what it is going on recently in this channel:

['freq', 'graphs', 'demographics', 'analytics', 'driven', 'activity', 'reddit', 'sandbox', 'survey']

(For a WORD CLOUD check: http://evaristoc.github.io/FreeCodeCamp_DSR/update )


evaristoc
@evaristoc
May 01 2016 11:48 UTC
(About the Word Cloud: this week is giving a REALLY NICE result! Check it: it is small because the parameters but the content is reaaaally nice! == relevant info, in tune with what has been happening in the room...)
CamperBot
@camperbot
May 01 2016 11:48 UTC
you need to ask about @someone!
Kristin Drysdale
@kymanikd
May 01 2016 14:03 UTC
@QuincyLarson Sweet and thanks!
CamperBot
@camperbot
May 01 2016 14:03 UTC
kymanikd sends brownie points to @quincylarson :sparkles: :thumbsup: :sparkles:
:star: 1122 | @quincylarson | http://www.freecodecamp.com/quincylarson
Kristin Drysdale
@kymanikd
May 01 2016 14:21 UTC
@evaristoc Training got interrupted by an accidental vacation so I'm a bit behind where I had hoped I'd be by now. Other than that, things are going well. I really enjoyed reading the piece from Josh Ebner on "the one concept you need to know." I actually spent a bit of time perusing through a handful of the articles from Sharp Sight Labs. I usually try and stay away from people who promise to show how to do things "faster..." although from what I gather the site is trying to encourage persons to learn fundamentals so they don't waste time later due to having skipped concepts... so that's of course good. =)
Thanks so much for asking @evaristoc . =D
CamperBot
@camperbot
May 01 2016 14:22 UTC
kymanikd sends brownie points to @evaristoc :sparkles: :thumbsup: :sparkles:
:star: 274 | @evaristoc | http://www.freecodecamp.com/evaristoc