Introduction to Programming and Computational Tools for the Social Sciences University of Sao Paulo
The course offers an introduction to programming logic and computational tools for the social sciences graduate students. The course focus on procedures to (1) gather (2) organize and (3) present social data. The course aims to develop programming skills for handling data with academic purposes. Notice that this is not a methods, data analysis or computational social science course. The course is divided in two parts. In the first part we focus on preparing the computational enviroment, getting used with the tools and developing programming literacy in R, Git, SQL, Markdown, and other languages required in class. In the second part we apply the skills acquired in the first part to handle big datasets, webscrapping and third party APIs, digital files management for textual analysis, graphs, maps and other topics of interest.
This course aims to fill a gap _common among social science students- providing the training in data management and computational skills
Weekly activities (50%) and a final project (50%).
1 - Basics of R Programming 2 - Data structures and data management in R 3 - Tables and graphs in R 4 _ R + SQL basics 5 - Git basics 6 - Markdown basics 7 - LaTex basics 8 - Webscraping 9 - Text, corpus and natural language processing 10 - Maps and GIS 11 - Networks and graphs
Online Course Requirement
Glauco Peres da Silva, Leonardo Sangali Barone
Site for Inquiry
Please inquire about the courses at the address below.
Email address: https://www.google.com.br/url?sa=t&rct=j&q=&esrc=s&source=web&cd=10&ved=0ahUKEwi3paLQ9tzYAhXBE5AKHdAvBDkQFghfMAk&url=http%3A%2F%2Fwww.ru.nl%2Fpublish%2Fpages%2F798477%2Fstudent_guide_fflch.pdf&usg=AOvVaw1Cv-BPFTbngDpr4qVjQBud