Necesitamos más que nunca una economía crítica. Con Exploring Economics, reforzamos los enfoques económicos alternativos y contrarrestamos la economía dominante con una comprensión crítica y pluralista de la educación económica. También ofrecemos análisis de fondo sobre los debates económicos actuales para fortalecer un discurso económico crítico.
Por desgracia, nos estamos quedando sin dinero para continuar nuestro trabajo.
Con una pequeña contribución puede ayudar a que Exploring Economics siga en línea. Muchas gracias.
Somos una organización sin fines de lucro registrada | Cuenta bancaria: Netzwerk Plurale Ökonomik e.V., DE91 4306 0967 6037 9737 00, GENODEM1GLS | Información legal
Data Analysis for Social Scientists
| University: | Massachusetts Institute of Technology |
|---|---|
| Platform: | edX |
| Start: | 02.06.2020 |
| Recurrence: | none |
| Language: | English |
| Discipline: | Economics, Social Sciences |
| Attendance: | free |
| Certificate: | 49.00 USD |
| Workload per week: | 8.0 h |
This statistics and data analysis course will introduce you to the essential notions of probability and statistics. We will cover techniques in modern data analysis: estimation, regression and econometrics, prediction, experimental design, randomized control trials (and A/B testing), machine learning, and data visualization. We will illustrate these concepts with applications drawn from real world examples and frontier research. Finally, we will provide instruction for how to use the statistical package R and opportunities for students to perform self-directed empirical analyses.
This course is designed for anyone who wants to learn how to work with data and communicate data-driven findings effectively, but it is challenging. Students who are uncomfortable with basic calculus and algebra might struggle with the pace of the class.