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2. Data Wrangling with Pandas.ipynbhttps://github.com/Solertis/statistical-analysis-python-tutorial/blob/master/2.%20Data%20Wrangling%20with%20Pandas.ipynb
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4. Statistical Data Modeling.ipynbhttps://github.com/Solertis/statistical-analysis-python-tutorial/blob/master/4.%20Statistical%20Data%20Modeling.ipynb
4. Statistical Data Modeling.ipynbhttps://github.com/Solertis/statistical-analysis-python-tutorial/blob/master/4.%20Statistical%20Data%20Modeling.ipynb
README.mdhttps://github.com/Solertis/statistical-analysis-python-tutorial/blob/master/README.md
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https://github.com/Solertis/statistical-analysis-python-tutorial#statistical-data-analysis-in-python
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https://github.com/Solertis/statistical-analysis-python-tutorial#data-wrangling-with-pandas
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https://github.com/Solertis/statistical-analysis-python-tutorial#plotting-and-visualization
Statistical Data Modelinghttp://nbviewer.ipython.org/urls/gist.github.com/fonnesbeck/5850483/raw/5e049b2fdd1c83ae386aa3205d3fc50a1a05e5b0/4.+Statistical+Data+Modeling.ipynb
https://github.com/Solertis/statistical-analysis-python-tutorial#statistical-data-modeling
https://github.com/Solertis/statistical-analysis-python-tutorial#required-packages
Scipy Superpackhttp://bit.ly/scipy_superpack
Anacondahttp://docs.continuum.io/anaconda/install.html
https://github.com/Solertis/statistical-analysis-python-tutorial#statistical-reading-list
The Ecological Detective: Confronting Models with Datahttp://www.amazon.com/Ecological-Detective-Confronting-Models-Data/dp/0691034974/ref=sr_1_1?s=books&ie=UTF8&qid=1372250186&sr=1-1&keywords=ecological+detective
Data Analysis Using Regression and Multilevel/Hierarchical Modelshttp://www.amazon.com/Analysis-Regression-Multilevel-Hierarchical-Models/dp/052168689X/ref=sr_1_1?s=books&ie=UTF8&qid=1372250274&sr=1-1&keywords=gelman
The Elements of Statistical Learninghttp://www-stat.stanford.edu/~tibs/ElemStatLearn/
A First Course in Bayesian Statistical Methodshttp://www.amazon.com/Bayesian-Statistical-Methods-Springer-Statistics/dp/1441928286/ref=sr_1_24?ie=UTF8&qid=1372250835&sr=8-24&keywords=bayesian
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