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</head><body bgcolor="#FFFFFF" text="#000000">Hi Leah,<br>
<br>
That's great there's good interest! I agree with Ethan both that the
lessons for Python and R are redundant and that it would be tough to
teach both languages in two days. Maybe the question is more, what are
people looking to do? Are they doing statistical analysis and data
visualization with ecological data? If so, then R might be better. If
they want to write scripts for data parsing or work with a lot of
colleagues who are working in Python, that might be better. <br>
<br>
As Kai says, the current Data Carpentry workshop components are focused
on data organization/management and the data
analysis/presentation/visualization.<br>
<br>
The current modules are:<br>
<br>
- spreadsheets for data organization<br>
- OpenRefine for data cleaning (30 minute demo)<br>
- SQL for managing and querying data<br>
- introduction to R or Python for data analysis and visualization<br>
- the shell for automation<br>
<br>
If you wanted to be able to spend more time on R or Python, which we're
finding people are interested in, especially being able to get through
more of the data visualization, you could leave out the shell or SQL and
use that extra time for R or Python. <br>
<br>
The mix of experience is always a challenge. Data Carpentry lessons
right now have been developed for people with little to no prior
computational experience, so no prior experience is expected or
required. This means things can be a little slower for people who do
have some experience, but has the advantage that we're clear about the
level up front and it doesn't leave as many people behind. People with
more experience still learn new tips and tricks for the things they've
seen already and can help their neighbors, and often even if someone is
experience with one tool, they might be new to another - so maybe they
know SQL well, but haven't worked in R before. <br>
<br>
This focus on learners newer to computation, does mean, as Ethan
mentioned that we're also not currently teaching git. As a concept, it's
more advanced than what most people new to programming are ready for.
We have talked about adding to the R lesson a component about working
with github from within RStudio, as that takes away some of the
complexity, but haven't had a chance to develop that or try it out yet. <br>
<br>
Does this approach and modules seem like it matches with what the people
there need? <br>
<br>
Best,<br>
-Tracy<br>
<blockquote style="border: 0px none;"
cite="mid:CAK2WhKT=rsKtPkaMdjLQJV2Rf_4jcb7HYUHuYL6jcUbPDPDj-A@mail.gmail.com"
type="cite">
<div style="margin:30px 25px 10px 25px;" class="__pbConvHr"><div
style="display:table;width:100%;border-top:1px solid
#EDEEF0;padding-top:5px"> <div
style="display:table-cell;vertical-align:middle;padding-right:6px;"><img
photoaddress="hky2@uw.edu" photoname="Hsi-Kai (Kai) Yang"
src="cid:part1.01070702.00030408@datacarpentry.org"
name="compose-unknown-contact.jpg" height="25px" width="25px"></div> <div
style="display:table-cell;white-space:nowrap;vertical-align:middle;width:100%">
<a moz-do-not-send="true" href="mailto:hky2@uw.edu"
style="color:#737F92
!important;padding-right:6px;font-weight:bold;text-decoration:none
!important;">Hsi-Kai (Kai) Yang</a></div> <div
style="display:table-cell;white-space:nowrap;vertical-align:middle;">
<font color="#9FA2A5"><span style="padding-left:6px">January 28, 2015
at 5:25 PM</span></font></div></div></div>
<div style="color:#888888;margin-left:24px;margin-right:24px;"
__pbrmquotes="true" class="__pbConvBody"><div dir="ltr">Leah:<div>You
might want to focus on either (1) data preparation/munging/management,
or (2) data analysis/presentation. Data exploration probably is in
between the two areas. </div><div>It could be too aggressive trying to
cover all aspects of data science in two days. </div><div>Also you
might want to assume the attendees can master at least one programming
language. I believe learning how to program belongs to software
carpentry. Data carpentry is all about data science.</div><div>My 2
cent.</div><div>Thanks.</div><div>-kai</div></div><div
class="gmail_extra"><br><br></div>
<div>_______________________________________________<br>dc-discuss
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<div style="margin:30px 25px 10px 25px;" class="__pbConvHr"><div
style="display:table;width:100%;border-top:1px solid
#EDEEF0;padding-top:5px"> <div
style="display:table-cell;vertical-align:middle;padding-right:6px;"><img
photoaddress="lwasser@neoninc.org" photoname="Leah Wasser"
src="cid:part1.01070702.00030408@datacarpentry.org"
name="compose-unknown-contact.jpg" height="25px" width="25px"></div> <div
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<a moz-do-not-send="true" href="mailto:lwasser@neoninc.org"
style="color:#737F92
!important;padding-right:6px;font-weight:bold;text-decoration:none
!important;">Leah Wasser</a></div> <div
style="display:table-cell;white-space:nowrap;vertical-align:middle;">
<font color="#9FA2A5"><span style="padding-left:6px">January 28, 2015
at 12:09 AM</span></font></div></div></div>
<div style="color:#888888;margin-left:24px;margin-right:24px;"
__pbrmquotes="true" class="__pbConvBody"><div>HI Tracey, and fellow DC
participants.<br>I am looking for some advice. There has been ongoing
interest in a Data Carpentry workshop at NEON (where i work for those of
you who don't know me). :) <br><br>The challenge that I see at this
point, is figuring out what content would be most relevant. I posted a
survey today and already have a handful of responses - all interested in
a 2 day workshop. <br><br>However there is a mix of interest in Python
vs R. And some mix of background (mostly intermediate focused however). <br><br>I
am giving everyone a week to respond to the survey. Then I need to
figure out an approach. Depending upon the volume of responses, i am
even thinking about something that is split across days (R one day,
python another). Git and shell combined? OR SQL ? Can anyone help guide
me through the logistics of deciding the best approach for this workshop
once the survey results are in?<br><br>Thank you in advance!!<br>leah<br><br>Leah
A. Wasser, Ph.D.<br>Remote Sensing Ecologist<br>Senior Science Educator
- Universities<br>National Ecological Observatory Network (NEON)<br>Boulder,
Colorado<br><br>________________________________________<br>From:
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2015 1:00 PM<br>To: <a class="moz-txt-link-abbreviated" href="mailto:dc-discuss@lists.idyll.org">dc-discuss@lists.idyll.org</a><br>Subject: dc-discuss
Digest, Vol 3, Issue 2<br><br>Send dc-discuss mailing list submissions
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"Re: Contents of dc-discuss digest..."<br><br><br>Today's Topics:<br><br>
1. Data Carpentry Genomics and Assessment hackathon (Tracy Teal)<br><br><br>----------------------------------------------------------------------<br><br>Message:
1<br>Date: Tue, 27 Jan 2015 10:34:30 -0500<br>From: Tracy Teal
<a class="moz-txt-link-rfc2396E" href="mailto:tkteal@datacarpentry.org"><tkteal@datacarpentry.org></a><br>Subject: [data-carpentry-discuss]
Data Carpentry Genomics and<br> Assessment hackathon<br>To:
<a class="moz-txt-link-abbreviated" href="mailto:discuss@datacarpentry.org">discuss@datacarpentry.org</a><br>Message-ID:
<a class="moz-txt-link-rfc2396E" href="mailto:54C7B006.4060605@datacarpentry.org"><54C7B006.4060605@datacarpentry.org></a><br>Content-Type: text/plain;
charset=windows-1252; format=flowed<br><br>If you're working or
interested in genomics or assessment, we hope<br>you'll consider
applying for our upcoming Data Carpentry Genomics and<br>Assessment
hackathon. We?re very excited about this event and the<br>opportunity to
develop lessons targeting genomics researchers and build<br>assessment
in to the curriculum. Travel support is available. Please<br>apply to
participate!<br><br>Dates: March 23-25, 2015<br>Location: Cold Spring
Harbor Labs, NY<br><br>It's a short application and the deadline is this
Friday, January 30th.<br><br>Call for Participation:<br><a class="moz-txt-link-freetext" href="https://docs.google.com/document/d/1r5Bfc-Igt7Hd8kjXsuPw7SenOHkxIQbEDbtnZfAxXbA/pub">https://docs.google.com/document/d/1r5Bfc-Igt7Hd8kjXsuPw7SenOHkxIQbEDbtnZfAxXbA/pub</a><br><br>Application:<br><a class="moz-txt-link-freetext" href="https://docs.google.com/forms/d/17cSQyPIvTIhCQGrFLRoQ0kSway1ZyxgRm9QL85BW8v8/viewform">https://docs.google.com/forms/d/17cSQyPIvTIhCQGrFLRoQ0kSway1ZyxgRm9QL85BW8v8/viewform</a><br><br>If
you have any questions about the event, please let me know!<br><br>Best,<br>-Tracy<br><br><br><br>------------------------------<br><br>_______________________________________________<br>dc-discuss
mailing list<br><a class="moz-txt-link-abbreviated" href="mailto:dc-discuss@lists.idyll.org">dc-discuss@lists.idyll.org</a><br><a class="moz-txt-link-freetext" href="http://lists.idyll.org/listinfo/dc-discuss">http://lists.idyll.org/listinfo/dc-discuss</a><br><br><br>End
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