5 ms·

Intro to statistical data analysis in Python – frequentist and Bayesian methods

192 points by sebg 12y ago

abhishekkr541 12y ago
Awesome to have this page. I was wondering about this only few days back, if I could find a website where I could learn Statistical Data Analysis in Python. :)
- TallGuyShort 12y ago
  For those interested in this topic, I just finished and highly recommend http://shop.oreilly.com/product/0636920023784.do http://shop.oreilly.com/product/0636920023784.do. It covers IPython, NumPy, Pandas and matplotlib. It doesn't cover algorithms and analysis so much, but it's great for learning the tools if you already know the statistics.
syedahmed 12y ago
Sweet! Bookmarked. Thanks for sharing. I'm just getting started with Python and this will indeed serve as a great resource once I start delving in Data Science stuff.
- sebg 12y ago
  If/when you start delving into Data Science stuff, you should check out Data Science Weekly http://datascienceweekly.org/ http://datascienceweekly.org/ (I'm co-editor) which is a free newsletter of data science articles, blog posts, job postings, resources, and interviews with data scientists.
  - cblock811 12y ago
    Data Science Weekly is great. Definitely worth looking into for anyone interested in data science.
JHonaker 12y ago
I use R for my statistical programming mostly, but I use Python for a lot of other things. It's nice to have this as a reference when I don't feel like moving back to R.
niels_olson 12y ago
Most helpful thing I ever learned about Bayesian statistics came from Kant: all of a sudden the "prior" and "posterior" were easy to remember. In his introduction, he discusses the origin of synthetic knowledge, and sets about distinguishing between a priori and a posteriori knowldge: that which one had before, and that which one has after. Of course we all know about "a priori" but I had never associated "a posteriori" with the same line of thinking. https://en.wikipedia.org/wiki/A_priori_and_a_posteriori https://en.wikipedia.org/wiki/A_priori_and_a_posteriori
sebastianavina 12y ago
I love how every day there is a new post about R and statistical data analysis. It's really a hot topic. I hope somebody could upload a course using measure theory for the ones like me interested more in the abstract probability concepts.
- grayclhn 12y ago
  1) "R _or_ statistical data analysis", since this is most definitely python. 2) enjoy: http://ocw.mit.edu/courses/mathematics/18-466-mathematical-statistics-spring-2003/lecture-notes/ http://ocw.mit.edu/courses/mathematics/18-466-mathematical-s...
  - deleted 12y ago
    [deleted]
- _deh 12y ago
  This starts with something on measure theory: http://www.metacademy.org/graphs/concepts/bayesian_parameter_estimation#focus=probability&mode=learn http://www.metacademy.org/graphs/concepts/bayesian_parameter...
kylebgorman 12y ago
Consider using good Python style (like consistent use of whitespace) when trying to teach people to use Python (in any fashion).
- if_by_whisky 12y ago
  semicolons oh my goodness
icki 12y ago
I also recommend Probabilistic Programming & Bayesian Methods for Hackers http://nbviewer.ipython.org/github/minrk/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/blob/master/Prologue/Prologue.ipynb http://nbviewer.ipython.org/github/minrk/Probabilistic-Progr...
- misiti3780 12y ago
  agreed - i think this is the best applied bayesian book on web - in python anyways
blumkvist 12y ago
Are there similar resources for social sciences, preferably marketing/micro-econ.? And also preferably in R.

192 points by sebg 12y ago

Awesome to have this page. I was wondering about this only few days back, if I could find a website where I could learn Statistical Data Analysis in Python. :)

TallGuyShort 12y ago
For those interested in this topic, I just finished and highly recommend http://shop.oreilly.com/product/0636920023784.do http://shop.oreilly.com/product/0636920023784.do. It covers IPython, NumPy, Pandas and matplotlib. It doesn't cover algorithms and analysis so much, but it's great for learning the tools if you already know the statistics.

syedahmed 12y ago

Sweet! Bookmarked. Thanks for sharing. I'm just getting started with Python and this will indeed serve as a great resource once I start delving in Data Science stuff.

sebg 12y ago
If/when you start delving into Data Science stuff, you should check out Data Science Weekly http://datascienceweekly.org/ http://datascienceweekly.org/ (I'm co-editor) which is a free newsletter of data science articles, blog posts, job postings, resources, and interviews with data scientists.
- cblock811 12y ago
  Data Science Weekly is great. Definitely worth looking into for anyone interested in data science.

JHonaker 12y ago

I use R for my statistical programming mostly, but I use Python for a lot of other things. It's nice to have this as a reference when I don't feel like moving back to R.

niels_olson 12y ago

Most helpful thing I ever learned about Bayesian statistics came from Kant: all of a sudden the "prior" and "posterior" were easy to remember. In his introduction, he discusses the origin of synthetic knowledge, and sets about distinguishing between a priori and a posteriori knowldge: that which one had before, and that which one has after. Of course we all know about "a priori" but I had never associated "a posteriori" with the same line of thinking. https://en.wikipedia.org/wiki/A_priori_and_a_posteriori https://en.wikipedia.org/wiki/A_priori_and_a_posteriori

sebastianavina 12y ago

I love how every day there is a new post about R and statistical data analysis. It's really a hot topic. I hope somebody could upload a course using measure theory for the ones like me interested more in the abstract probability concepts.

grayclhn 12y ago
1) "R _or_ statistical data analysis", since this is most definitely python. 2) enjoy: http://ocw.mit.edu/courses/mathematics/18-466-mathematical-statistics-spring-2003/lecture-notes/ http://ocw.mit.edu/courses/mathematics/18-466-mathematical-s...
- deleted 12y ago
  [deleted]
_deh 12y ago
This starts with something on measure theory: http://www.metacademy.org/graphs/concepts/bayesian_parameter_estimation#focus=probability&mode=learn http://www.metacademy.org/graphs/concepts/bayesian_parameter...

kylebgorman 12y ago

Consider using good Python style (like consistent use of whitespace) when trying to teach people to use Python (in any fashion).

if_by_whisky 12y ago
semicolons oh my goodness

icki 12y ago

I also recommend Probabilistic Programming & Bayesian Methods for Hackers http://nbviewer.ipython.org/github/minrk/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/blob/master/Prologue/Prologue.ipynb http://nbviewer.ipython.org/github/minrk/Probabilistic-Progr...

misiti3780 12y ago
agreed - i think this is the best applied bayesian book on web - in python anyways

blumkvist 12y ago

Are there similar resources for social sciences, preferably marketing/micro-econ.? And also preferably in R.