2018课程

本课程注重编程训练、数学建模、可计算思维。本课程致力于介绍python编程和数据科学基础知识。

• 时间：周三 第5-6节 逸夫楼C-405 1-17周
• 教师：王成军

王成军，南京大学新闻传播学院副教授，奥美数据科学实验室主任，南京大学计算传播学实验中心副主任。

Mybinder.org turns a GitHub repo into a collection of interactive notebooks. Have a repository full of Jupyter notebooks? With Binder, open those notebooks in an executable environment, making your code immediately reproducible by anyone, anywhere.

https://hub.mybinder.org/user/computational-c-datascience2018-x6d61dtj/tree

本课程鼓励采用公开的竞赛数据作为研究项目。现有数据竞赛平台很多，包括Kaggle、DataFoundation、阿里云天池大赛、DC竞赛、BienData等。

1. 分析《权力的游戏》中的核心人物及其演变

A Network analysis of Game of Thrones: Analyze the network of characters in Game of Thrones and how it changes over the course of the books. https://www.datacamp.com/projects/76

Get the Data

• Winter is Coming. Let's load the dataset ASAP
• Time for some Network of Thrones
• Populate the network with the DataFrame
• Finding the most important character in Game of Thrones
• Evolution of importance of characters over the books
• What's up with Stannis Baratheon?
• What does the Google PageRank algorithm tell us about Game of Thrones?
• Correlation between different measures
• Conclusion

2. Kaggle比赛数据分析 《众包模式下的数据科学编程比赛》

• https://www.kaggle.com/kaggle/meta-kaggle/data
• https://www.kaggle.com/canggih/voted-kaggle-dataset

3. IMDB电影数据 《让电影成功的元素：基于IMDB数据的分析》

• https://www.kaggle.com/tmdb/tmdb-movie-metadata
• https://www.kaggle.com/PromptCloudHQ/imdb-data/data

• Wikileaks Afghanistan Data Analysis and Visualization https://github.com/chengjun/WikileaksAfghanistanDataAnalysis
• Olympic Data Analysis https://github.com/data-journalism/olympic

• Whirlwind Tour Of Python https://jakevdp.github.io/WhirlwindTourOfPython/
• Python Data Science Handbook https://jakevdp.github.io/PythonDataScienceHandbook/
• Data Science from Scratch https://github.com/joelgrus/data-science-from-scratch
• Python for Data Analysis by Wes McKinney, published by O'Reilly Media https://github.com/data-science-lab/pydata-book
• Easley, David and Jon Kleinberg. 2011.Networks, Crowds, and Markets: Reasoning About a Highly Connected World. New York: Cambridge University. 大卫・伊斯利, & 乔恩・克莱因伯格. (2011). 网络、群体与市场:揭示高度互联世界的行为原理与效应机制. 清华大学出版社.
• Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman.2011. Mining massive datasets (2nd)http://www.mmds.org/
• 朝乐门 (2017)数据科学理论与实践.清华大学出版社
• 朝乐门 (2016)数据科学.清华大学出版社

• 复旦大学新媒体硕士项目《计算新闻传播学》课程 https://github.com/computational-class/cjc
• 南京大学《数据新闻》2017课程 https://github.com/data-journalism/dj2017
• 用Python玩转数据_南京大学_中国大学MOOC(慕课) http://www.icourse163.org/course/nju-1001571005