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pablobarbera committed Jan 22, 2016
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## Description

This is a three-day short course covering key topics at the intersection of Data Science and Social Science. Each day will be structured as a 6-hour project-based course focused on instruction and implementation of data science methodology with real social science data. This course will cover an introduction to the R programming and statistical language, modeling and visualization, automated textual analysis, social network analysis, and web scraping & APIs.
This is a three-day short course covering key topics at the intersection of Data Science and Social Science. Each day is structured as a series of modules that will combine instruction on data science methods with implementation using real data in R. his course covers an introduction to the R programming and statistical language, modeling and visualization, automated textual analysis, social network analysis, and web scraping & APIs.

## Setup and Preparation

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| Jan 20 | 13:30-16:30 | [Data Modeling and Visualization](modeling-viz/README.md) | Dan |
| Jan 21 | 09:00-12:00 | [Automated Textual Analysis](text/README.md) | Pablo |
| Jan 21 | 13:30-16:30 | [Social Network Analysis](sna/README.md) | Pablo |
| Jan 22 | 09:00-12:00 | [Web scraping & APIs](scraping/README.md) | Both |
| Jan 22 | 13:30-16:30 | [Research Practicum](practicum/README.md) | Both |
| Jan 22 | 09:00-12:00 | [Web scraping & APIs](scraping/README.md) | Pablo |
| Jan 22 | 13:30-16:30 | [Research Practicum](practicum/README.md) | Dan |

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