Social Science Workshop Overview

By Angela Li, Erin Alison Becker, Francois Michonneau, Maneesha Sane, Sarah Brown, Tracy Teal.
Analysis Data Education Open Scholarship Tools and Technologies Python R Reproducibility Research Data Management Tools Researchers SQL

Abstract

Workshop overview for the Data Carpentry Social Sciences curriculum. Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. This workshop teaches data management and analysis for social science research including best practices for data organization in spreadsheets, reproducible data cleaning with OpenRefine, and data analysis and visualization in R. This curriculum is designed to be taught over two full days of instruction. Materials for teaching data analysis and visualization in Python and extraction of information from relational databases using SQL are in development. Interested in teaching these materials? We have an onboarding video and accompanying slides available to prepare Instructors to teach these lessons. After watching this video, please contact team@carpentries.org so that we can record your status as an onboarded Instructor. Instructors who have completed onboarding will be given priority status for teaching at centrally-organized Data Carpentry Social Sciences workshops.

Link to resource: https://datacarpentry.org/socialsci-workshop/

Type of resources: Module

Education level(s): Graduate / Professional

Primary user(s): student, teacher

Subject area(s): Information Science, Measurement and Data, Social Science

Language(s): English