img Leseprobe Leseprobe

Doing Computational Social Science

A Practical Introduction

John McLevey

EPUB
ca. 62,99
Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

SAGE Publications img Link Publisher

Geisteswissenschaften, Kunst, Musik / Pädagogik

Beschreibung

Computational approaches offer exciting opportunities for us to do social science differently. This beginner’s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research.

It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline.

The book also:

  • Considers important principles of social scientific computing, including transparency, accountability and reproducibility.
  • Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases.
  • Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed.

For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.

Kundenbewertungen

Schlagwörter

research with python, social data science research, python coding, social data science, computational social science, doing computational social science, computational social science research