Practical Data Mining with AI for Social Scientists Practical Data Mining with AI for Social Scientists
Springer Texts in Social Sciences

Practical Data Mining with AI for Social Scientists

    • 59,99 €
    • 59,99 €

Beschreibung des Verlags

This book is designed as a foundational textbook for upper-level undergraduate and graduate students from non-technical fields who want to acquire a basic understanding of data science and learn practical skills in data analysis. It distinguishes itself by combining theoretical knowledge with practical applications, bridged through extensive Python programming exercises. To accommodate social scientists' needs, the book emphasizes the analysis of textual data, especially those acquired from surveys and social media. For those without prior programming experience, the book provides instruction on using an AI-assisted Python programming tool, following the learn-by-doing methodology of acquiring new skills through experience. The overall learning goal of the book is to develop a conceptual understanding of data mining as well as the technical skills necessary for real-world data analysis.

GENRE
Sachbücher
ERSCHIENEN
2026
9. Januar
SPRACHE
EN
Englisch
UMFANG
534
Seiten
VERLAG
Springer Nature Switzerland
ANBIETERINFO
Springer Science & Business Media LLC
GRÖSSE
19
 MB
The Anthropology of Human and Planetary Health The Anthropology of Human and Planetary Health
2025
Sociology of Music Sociology of Music
2024
Qualitative Methods and Data Analysis Using ATLAS.ti Qualitative Methods and Data Analysis Using ATLAS.ti
2024
Population Health Population Health
2023
Spatial Socio-econometric Modeling (SSEM) Spatial Socio-econometric Modeling (SSEM)
2023
Methodological Approaches in Integrated Geography Methodological Approaches in Integrated Geography
2023