Event details
| Max. participants | 10 |
|---|---|
| Registration is open until | 30.11.2023 - 23:59 o'clock |
| Start date | 14.12.2023 - 15:00 o'clock |
| End date | 15.12.2023 - 16:00 o'clock |
| Price | 150 Euro |
Prof. Dr. Uwe Engel
(Managing Director)Uwe Engel is a professor in the Social Sciences department at the University of Bremen, where he headed the Chair of Statistics and Empirical Social Research for more than twenty years from 2000 until his retirement in autumn 2020. In 2007 he founded the Social Science Methods Centre at the University of Bremen and headed it until 2020. Uwe Engel has been teaching statistical methods at universities for students from a wide range of disciplines for more than forty years.
Two standards usually apply to data science analyses: they are primarily aimed at optimizing prediction accuracy and they place a strong emphasis on sound validation of the analysis. Accordingly, predictive analytics combined with sophisticated validation techniques are at the center of any data science analysis. In contrast, the goal of causal inference in connection with the management of data quality traditionally plays a major role in the methodology and research practice of empirical social science working with quantitative methods. The course addresses how, in the context of statistical learning, the goals of predictive analytics and causal inference can be combined and techniques of predictive, causal and statistical inference can be practically applied in a coherent manner.