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ajschumacher / gadsdc

materials for General Assembly Data Science DC course
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resource(s) for intro stats? #70

Closed ajschumacher closed 10 years ago

ajschumacher commented 10 years ago

What is a good intro stats resource to people to? It seems hard to find something that is accessible (both available online and in level of discourse) and covers a good swath of material for the course. The best I've found, I'm afraid, is this:

http://www.statsoft.com/Textbook/Elementary-Statistics-Concepts http://www.statsoft.com/Textbook/Basic-Statistics

Pros: Very friendly writing, more or less concept-oriented, no formulas. Cons: No formulas, doesn't seem to care about variance as a foundational concept, trying to sell their silly product.

I also haven't read all the words on those two pages; there may be more going on there. Thoughts? Other ideas?

@podopie @datadave @arahuja @justmarkham @sinanuozdemir any suggestions appreciated!

sinanuozdemir commented 10 years ago

Would slides like these along with video and audio help? I'm afraid they aren't so in depth but they are part of an online AP Statistics class I helped create. We go up to linear regressions but my videos aren't there yet unfortunately.

Chi Squared Tests https://www.dropbox.com/s/quzui7h9e684pa0/chi%20squared.mp4

Sinan Ozdemir http://about.me/sinanozdemir Professor of Mathematics / Computer Science Founder & CTO of Tier5 http://tier5.co M.A. in Theoretical Mathematics, Johns Hopkins University Mobile: +(609) 462-6706

On Tue, Jun 17, 2014 at 11:38 PM, Aaron Schumacher <notifications@github.com

wrote:

What is a good intro stats resource to people to? It seems hard to find something that is accessible (both available online and in level of discourse) and covers a good swath of material for the course. The best I've found, I'm afraid, is this:

http://www.statsoft.com/Textbook/Elementary-Statistics-Concepts http://www.statsoft.com/Textbook/Basic-Statistics

Pros: Very friendly writing, more or less concept-oriented, no formulas. Cons: No formulas, doesn't seem to care about variance as a foundational concept, trying to sell their silly product.

I also haven't read all the words on those two pages; there may be more going on there. Thoughts? Other ideas?

@podopie https://github.com/podopie @datadave https://github.com/datadave @arahuja https://github.com/arahuja @justmarkham https://github.com/justmarkham @sinanuozdemir https://github.com/sinanuozdemir any suggestions appreciated!

— Reply to this email directly or view it on GitHub https://github.com/ajschumacher/gadsdc/issues/70.

ajschumacher commented 10 years ago

Could be good! Can you put together a statistics.md in the 00 linking to a good selection/sequence and send a pr?

justmarkham commented 10 years ago

I spent some time today looking for a good stats resource. Although I found some potentially good materials, everything I found is probably too long. With a limited amount of time before the course, and other prep work to do in R and Python, who's going to read an entire textbook or watch tons of hours of videos?

That being said, here's what I found, and perhaps there are chapters or sections we can pull out and recommend specifically:

Video-based courses that were recommended various places, but I haven't looked into them yet:

I did like what you posted, Aaron, because it wasn't overly long and covered a good bit. And I did like Sinan's video.

podopie commented 10 years ago

Khan Academy's videos are amazing! We reference them constantly in class and as additional sources to cover the statistics we talk about in class.