Practical Data Mining with AI for Social Scientists
Buch in deiner Nähe kaufen
Beschreibung
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.
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.
Emphasizes practical skills thereby making the book very accessible for students from non-technical fields Combines theoretical knowledge with practical applications, bridged through extensive Python programming exercises Provides basic principles of scraping data from the internet with an emphasis on social media
Autor*in
Andrei P. Kirilenko
Themen in »Practical Data Mining with AI for Social Scientists«
AI-assisted Python programming tool Social sciences Text analysis Web data scraping Text mining and sentiment analysis CRISP-DM process Data analytics Clustering techniques: K-means and DBSCAN Topic Modeling with Large Language Models (LLMs)