Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.
Chapman & Hall/CRC Statistiek in de sociale en gedragswetenschappen Reeks
Deze serie duikt in de cruciale rol van statistische methoden voor de analyse van grote, complexe datasets binnen de sociale en gedragswetenschappen. Het omvat baanbrekende ontwikkelingen in de statistische methodologie, met de nadruk op relevantie voor vakgebieden zoals sociologie, psychologie, economie en politicologie. De collectie bevordert de gedegen toepassing van statistische, econometrische en psychometrische hulpmiddelen door middel van naslagwerken, leerboeken en handboeken, met echte voorbeelden en casestudy's. Het richt zich op toegepaste statistici, studenten en onderzoekers uit deze diverse disciplines.
