Data Analysis and Visualization with Python for Social Scientists

By Geoffrey Boushey, Stephen Childs.
Analysis Data Education Open Scholarship Tools and Technologies Python Reproducibility Research Data Management Tools Researchers

Abstract

Python is a general purpose programming language that is useful for writing scripts to work effectively and reproducibly with data. This is an introduction to Python designed for participants with no programming experience. These lessons can be taught in a day (~ 6 hours). They start with some basic information about Python syntax, the Jupyter notebook interface, and move through how to import CSV files, using the pandas package to work with data frames, how to calculate summary information from a data frame, and a brief introduction to plotting. The last lesson demonstrates how to work with databases directly from Python.

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

Type of resources: Module

Education level(s): Graduate / Professional

Primary user(s): student, teacher

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

Language(s): English