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超棒的课程、书籍和博客列表
https://github.com/guhjy/awesome-book-course-list
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超棒的课程、书籍和博客列表
Host: GitHub
URL: https://github.com/guhjy/awesome-book-course-list
Owner: guhjy
Created: 2017-10-01T00:30:33.000Z (almost 7 years ago)
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README

        # 超棒的课程和书籍列表

## Book with Course

- [Biomedical Data Science](http://genomicsclass.github.io/book/) 生物医学数据科学 视频 Rmd源文件 书 课程edX

- [Analysis of Spatial and Temporal Data](http://web.stanford.edu/class/stats253/lectures.html) Lecture Slides、 JAGS和 R code

- Computational and Inferentinal Thinking: The Foundations of Data Science

[Github](https://github.com/data-8/textbook)

[pdf](https://raw.githubusercontent.com/data-8/textbook/gh-pages/book.pdf)

[online](https://www.inferentialthinking.com/)

[course](http://data8.org/)

- The Elements of Statistical Learning: Data Mining, Inference, and Prediction (second edition)

[homepage](https://web.stanford.edu/~hastie/ElemStatLearn/)

[pdf](https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf)

- An Introduction to Statistical Learning with Applications in R

[homepage](http://www-bcf.usc.edu/~gareth/ISL/)

[pdf](http://www-bcf.usc.edu/~gareth/ISL/ISLR%20Seventh%20Printing.pdf)

[course](https://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/)

- Statistical Learning with Sparsity: The Lasso and Generalizations

[homepage](http://web.stanford.edu/~hastie/StatLearnSparsity/)

[pdf](https://web.stanford.edu/~hastie/StatLearnSparsity_files/SLS.pdf)

- Advanced Data Analysis from an Elementary Point of View

[pdf](http://www.stat.cmu.edu/~cshalizi/ADAfaEPoV/ADAfaEPoV.pdf)

[course](http://www.stat.cmu.edu/~cshalizi/uADA/16/)

- Introduction to Probability, 2nd Edition

[homepage](http://athenasc.com/probbook.html)

- Statistical forecasting: notes on regression and time series analysis

[homepage](http://people.duke.edu/~rnau/411home.htm)

- Foundations of Graphical Models

[homepage](http://www.cs.columbia.edu/~blei/fogm/2015F/)

- Probabilistic Models of Discrete Data

[homepage](http://www.cs.columbia.edu/~blei/seminar/2016_discrete_data/index.html)

## Blogger

- 38 great resources for learning data mining concepts and techniques

[Blogger](https://www.import.io/post/38-great-resources-for-learning-data-mining-concepts-and-techniques/)

- 9 Ways to Make Big Data Visual

[Blogger](https://www.import.io/post/9-ways-make-big-data-visual/)

- ACCELERATE R BY PARALLEL TECHNOLOGY

[Blogger](http://www.parallelr.com/)

- Welcome to r-statistics.co

[blogger](http://r-statistics.co/)

- **segmentfault** 中文网站 包含问答和文章

[Blogger](https://segmentfault.com/t/r/blogs)

- Bruno Rodrigues

[homepage](http://www.brodrigues.co/)

- Thomas Lin Pedersen

[homepage](http://www.data-imaginist.com/)

- data science +

[homepage](https://datascienceplus.com/)

- Transforming science through open data

[homepage](https://ropensci.org/)

- CYBAEA

[homepage](http://www.cybaea.net/)

- Alexej Gossmann

[homepage](http://www.alexejgossmann.com/)

- Scott Stoltzman

[homepage](https://www.stoltzmaniac.com/)

## Book

- [Forecasting: Principles and Practice](http://otexts.org/fpp2/) Rob J Hyndman  George Athanasopoulos

- [Spatial Microsimulation with R](http://robinlovelace.net/spatial-microsim-book/) 免费在线书 提供pdf

- [An Introduction to Spatial Econometrics in R](http://www.econ.uiuc.edu/~lab/workshop/Spatial_in_R.html) 空间计量经济学

- [Spatial Point Patterns: Methodology and Applications with R](http://book.spatstat.org/) 配套网站（包含代码、勘误、样章） 类似Advanced R website的风格

- [Applied Spatial Data Analysis with R](http://www.asdar-book.org/) 这本书家喻户晓 配套网站，基本同上

- [Geocomputation with R](http://robinlovelace.net/geocompr/) 在线书

- [A Whirlwind Tour of Python by Jake VanderPlas (O’Reilly)](https://github.com/jakevdp/WhirlwindTourOfPython)

- [An Introduction to Statistical Learning](https://github.com/asadoughi/stat-learning) [主页](http://asadoughi.github.io/stat-learning)

- [Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python](https://github.com/rasbt/deep-learning-book)

- [Tidy Text Mining with R](http://tidytextmining.com/) [github](https://github.com/dgrtwo/tidy-text-mining)

Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson

- The "Python Machine Learning" book code repository and info resource [github](https://github.com/rasbt/python-machine-learning-book)

- Introduction to R for Data Science, Data Science Serbia + Startit Center, Belgrade, Autumn 2016.

[github](https://github.com/GoranMilovanovic/Introduction-to-R-for-Data-Science)

- Tutorial on text-mining and distributional semantics with {tm}, {openNLP}, and {topicmodels} in R. Based on my BelgradeR Meetup - Methods of Distributional Semantics in R - 11/30/2016, Startit Center, Savska 5, Belgrade.

[github](https://github.com/GoranMilovanovic/Distributional-Semantics-in-R)

- Jupyter Notebooks for the Python Data Science Handbook  完整免费的书籍 打包在github 

- Data Visualisation with R – 100 Examples  非常漂亮的图形绘制手册

[online](http://www.datavisualisation-r.com/)

- Social Network Analysis in Education

 [github](https://github.com/meefen/sna-ed)

 [online](https://bookdown.org/chen/snaEd/)

 [pdf](https://bookdown.org/chen/snaEd/snaEd.pdf)

- Functional programming and unit testing for data munging with R

[online](http://www.brodrigues.co/fput/)

[pdf](http://www.brodrigues.co/fput/fp_tdd_data.pdf)

- Efficient R programming

[github](https://github.com/csgillespie/efficientR)

[online](https://csgillespie.github.io/efficientR/)

- Modern Data Science with R

[homepage](https://mdsr-book.github.io/)

- Bayesian Data Analysis (third edition)

[homepage](http://www.stat.columbia.edu/~gelman/book/)

- Graphical Data Analysis with R

[homepage](http://www.gradaanwr.net/)

- Extending the Linear Model with R (Second Edition)

[homepage](http://people.bath.ac.uk/jjf23/ELM/)

- Spatial Point Patterns: Methodology and Applications with R 

[homepage](http://spatstat.org/)

[manual pdf](http://spatstat.org/resources/spatstatManual.pdf)

- Statistical Rethinking--A Bayesian Course with Examples in R and Stan

[homepage](http://xcelab.net/rm/statistical-rethinking/)

[slides](https://speakerdeck.com/rmcelreath)

- Practical Data Science with R

[homepage](http://www.win-vector.com/blog/practical-data-science-with-r/)

[Manning Publications Co.](https://www.manning.com/books/practical-data-science-with-r)

[github](https://github.com/WinVector/zmPDSwR)

- R Graphics (Second Edition)

[homepage](https://www.stat.auckland.ac.nz/~paul/RG2e/index.html)

-  R Graphics Cookbook

[homepage](http://www.cookbook-r.com/)

- ThinkStats2

 [github](https://github.com/AllenDowney/ThinkStats2) Text and supporting code for Think Stats, 2nd Edition

 

- Statistical Rethinking course and book package

 [github](https://github.com/rmcelreath/rethinking) **rethinking** R package accompanies a course and book on Bayesian data analysis (McElreath 2016. Statistical Rethinking. CRC Press.). It contains tools for conducting both MAP estimation and Hamiltonian Monte Carlo (through RStan - mc-stan.org).

 

## videos

- useR! 2016 international R User conference

[video](https://channel9.msdn.com/Events/useR-international-R-User-conference/useR2016)

- useR! International R User 2017 Conference

[video](https://channel9.msdn.com/Events/useR-international-R-User-conferences/useR-International-R-User-2017-Conference)

- PyData Seattle 2017

[video](https://channel9.msdn.com/Events/PyData/Seattle2017)

## visualization 

注：图的名称采用D3给的例子，[D3图库](https://github.com/d3/d3/wiki/Gallery)

- **Streamgraph** 

Millennial generation is bigger, more diverse than boomers

[blogger](http://money.cnn.com/interactive/economy/diversity-millennials-boomers/)

- global weather conditions

[blogger](https://earth.nullschool.net/)



- **Sankey Diagrams**

An Interactive Visualization of NYC Street Trees

[blogger](https://www.cloudred.com/labprojects/nyctrees/#about)

- maptive 地图可视化

[Blogger](https://www.maptive.com/blog/)

- migration and forecast components of population change

[Blogger](https://gjabel.wordpress.com/)



# 专家学者主页

## 中国人

- [李润泽](http://www.personal.psu.edu/ril4/)



- [范剑青](http://orfe.princeton.edu/~jqfan/)

- [朱力行](http://www.math.hkbu.edu.hk/~lzhu/)



- [李航](http://www.hangli-hl.com/)

- [张伟平](http://staff.ustc.edu.cn/~zwp/)



- [李宏毅](http://speech.ee.ntu.edu.tw/~tlkagk/)



- [Xiaojin (Jerry) Zhu](http://pages.cs.wisc.edu/~jerryzhu/)