CommunityData:StatsGaps: Difference between revisions
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DRAFT -- IN PROGRESS -- IGNORE | DRAFT -- IN PROGRESS -- IGNORE | ||
Welcome to the StatsGaps page -- a set of suggested learning pathways making use of course resources produced by community data faculty, meant to be used by folks who have a mixture of familiarity and non-familiarity with R, statistics, and research processes. | Welcome to the StatsGaps StudyGroup page -- a set of suggested learning pathways making use of course resources produced by community data faculty, meant to be used by folks who have a mixture of familiarity and non-familiarity with R, statistics, and research processes. The primary text is: [[https://www.openintro.org/download.php?file=os3&referrer=/stat/textbook.php Open Intro to Statistics]] | ||
Follow the strand(s) that apply to you: | Follow the strand(s) that apply to you: | ||
* Learn R | * '''Learn R''' -- you don't know R | ||
* Learn Stats | * '''Learn Stats''' -- you haven't taken much if any statistics, or otherwise feel you're mostly starting from scratch | ||
* Refresh -- overview and shore up your stats knowledge if it feels rusty | * '''Refresh''' -- overview and shore up your stats knowledge if it feels rusty | ||
* | * '''Stronger''' -- your stats knowledge is strong but your class stopped before you got to good stuff you see used in lots of the papers in this group, like regression) | ||
=== Week 1 === | === Week 1 === | ||
| Line 30: | Line 28: | ||
Stronger: | Stronger: | ||
* [[https://wiki.communitydata.science/Statistics_and_Statistical_Programming_(Spring_2019)/Problem_Set:_Week_1 Skim Problem Set 1]] -- since we may discuss it f2f. | * [[https://wiki.communitydata.science/Statistics_and_Statistical_Programming_(Spring_2019)/Problem_Set:_Week_1 Skim Problem Set 1]] -- since we may discuss it f2f. Take a look at the text if you find any of the questions to be confusing or the answer you came up with is different than the key. | ||
'''Resources:''' | '''Extra Resources:''' | ||
* [https://www.openintro.org/download.php?file=os3_slides_01&referrer=/stat/slides/slides_0x.php Mine Çetinkaya-Rundel's OpenIntro §1 Lecture Notes] | * [https://www.openintro.org/download.php?file=os3_slides_01&referrer=/stat/slides/slides_0x.php Mine Çetinkaya-Rundel's OpenIntro §1 Lecture Notes] | ||
* [https://www.openintro.org/stat/videos.php OpenIntro Video Lectures] including some for §1 | * [https://www.openintro.org/stat/videos.php OpenIntro Video Lectures] including some for §1 | ||
Revision as of 05:17, 11 July 2019
DRAFT -- IN PROGRESS -- IGNORE
Welcome to the StatsGaps StudyGroup page -- a set of suggested learning pathways making use of course resources produced by community data faculty, meant to be used by folks who have a mixture of familiarity and non-familiarity with R, statistics, and research processes. The primary text is: [Open Intro to Statistics]
Follow the strand(s) that apply to you:
- Learn R -- you don't know R
- Learn Stats -- you haven't taken much if any statistics, or otherwise feel you're mostly starting from scratch
- Refresh -- overview and shore up your stats knowledge if it feels rusty
- Stronger -- your stats knowledge is strong but your class stopped before you got to good stuff you see used in lots of the papers in this group, like regression)
Week 1
All:
- Kramer, Adam D. I., Jamie E. Guillory, and Jeffrey T. Hancock. 2014. Experimental Evidence of Massive-Scale Emotional Contagion through Social Networks. Proceedings of the National Academy of Sciences 111(24):8788–90. [Open Access] If you haven't read this, you should--also, check the 'Editorial expression of concern' at the top and toss "kramer guillory hancock 2014" if you want to see the firestorm that this article created.-khc
Learn R:
- Week 1 R lecture materials (.zip file)
- Week 1 screencast (part 1, 23 minutes) (the video should load directly in browser window)
- Week 1 screencast (part 2, 27 minutes)
Learn Stats:
- Diez, Barr, and Çetinkaya-Rundel: §1 (Introduction to data)
- [Do Problem Set 1]
Refresh:
- Diez, Barr, and Çetinkaya-Rundel: §1 (Introduction to data)
- [Read Problem Set 1]
Stronger:
- [Skim Problem Set 1] -- since we may discuss it f2f. Take a look at the text if you find any of the questions to be confusing or the answer you came up with is different than the key.
Extra Resources:
- Mine Çetinkaya-Rundel's OpenIntro §1 Lecture Notes
- OpenIntro Video Lectures including some for §1
