Data Analysis for Social Scientists

Level: leicht
Esther Duflo

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.

Universität: Massachusetts Institute of Technology
Plattform: edX
Start: 05.02.2019
Wiederholung: none
Sprache: English
Disziplin: Ökonomik, Sozialwissenschaften
Teilnahme: Kostenlos
Zertifikat: 49,00 USD
Aufwand pro Woche: 8,0 h
Schlagwörter Datenvisualisierung , Ökonometrie , Schätzung , Experimente , Vorhersage , Maschinenlernen , Wahrscheinlichkeit , randomisierte kontrollierte Studie , Regression , Statistik