CommunityData:StatsGaps: Difference between revisions
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* [[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. | * [[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's Chapter 1 if you find any of the questions to be confusing or the answer you came up with is different than the key. | ||
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* [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 | ||
=== Week 2: Probability and Visualization === | |||
All: | |||
* Shaw, Aaron and Yochai Benkler. 2012. A tale of two blogospheres: Discursive practices on the left and right. ''American Behavioral Scientist''. 56(4): 459-487. [[https://doi.org/10.1177%2F0002764211433793]] | |||
Learn R: | |||
* [https://communitydata.cc/~ads/teaching/2019/stats/r_lectures/w02-R_lecture.Rmd Week 2 R lecture materials] (.Rmd file) | |||
* [https://communitydata.cc/~ads/teaching/2019/stats/screencasts/w02.webm Week 2 screencast (17 minutes)] | |||
Learn Stats: | |||
* Diez, Barr, and Çetinkaya-Rundel: §2 (Probability) | |||
* Do problem set 2 -- [[Statistics and Statistical Programming (Spring 2019)/Problem Set: Week 2]] | |||
Refresh: | |||
* Diez, Barr, and Çetinkaya-Rundel: §2 (Probability) | |||
* Read problem set 2 [[Statistics and Statistical Programming (Spring 2019)/Problem Set: Week 2]] | |||
Stronger: | |||
* Skim problem set 2 [[Statistics and Statistical Programming (Spring 2019)/Problem Set: Week 2]] | |||
'''Extra Resources:''' | |||
* [https://seeing-theory.brown.edu/ Seeing Theory] §1 (Basic Probability) and §2 (Compound Probability). (Note: this site provides a beautiful visual introduction to core concepts in probability and statistics). | |||
* Buechley, Leah and Benjamin Mako Hill. 2010. “LilyPad in the Wild: How Hardware’s Long Tail Is Supporting New Engineering and Design Communities.” Pp. 199–207 in ''Proceedings of the 8th ACM Conference on Designing Interactive Systems.'' Aarhus, Denmark: ACM. [[https://mako.cc/academic/buechley_hill_DIS_10.pdf PDF]] | |||
* [https://www.openintro.org/download.php?file=os3_slides_02&referrer=/stat/slides/slides_0x.php Mine Çetinkaya-Rundel's OpenIntro §2 Lecture Notes] | |||
* [https://www.openintro.org/stat/videos.phpOpenIntro Video Lectures] including 2 short videos for §2 |
Revision as of 05:25, 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]
We borrow heavily from the course most recently taught by Aaron: [[1]]
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's Chapter 1 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
Week 2: Probability and Visualization
All:
- Shaw, Aaron and Yochai Benkler. 2012. A tale of two blogospheres: Discursive practices on the left and right. American Behavioral Scientist. 56(4): 459-487. [[2]]
Learn R:
Learn Stats:
- Diez, Barr, and Çetinkaya-Rundel: §2 (Probability)
- Do problem set 2 -- Statistics and Statistical Programming (Spring 2019)/Problem Set: Week 2
Refresh:
- Diez, Barr, and Çetinkaya-Rundel: §2 (Probability)
- Read problem set 2 Statistics and Statistical Programming (Spring 2019)/Problem Set: Week 2
Stronger:
- Skim problem set 2 Statistics and Statistical Programming (Spring 2019)/Problem Set: Week 2
Extra Resources:
- Seeing Theory §1 (Basic Probability) and §2 (Compound Probability). (Note: this site provides a beautiful visual introduction to core concepts in probability and statistics).
- Buechley, Leah and Benjamin Mako Hill. 2010. “LilyPad in the Wild: How Hardware’s Long Tail Is Supporting New Engineering and Design Communities.” Pp. 199–207 in Proceedings of the 8th ACM Conference on Designing Interactive Systems. Aarhus, Denmark: ACM. [PDF]
- Mine Çetinkaya-Rundel's OpenIntro §2 Lecture Notes
- Video Lectures including 2 short videos for §2