Data Analysis for Social Scientists

Niveau: débutant
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.

Université: Massachusetts Institute of Technology
Plateforme: edX
Date de début: 05.02.2019
Fréquence: none
Langue: English
Discipline: Economics, Social Sciences
Modalité de suivi: gratuit
Certificat: 49,00 USD
Charge de travail hebdomadaire: 8,0 h
Tags data visualization , econometrics , estimation , experiments , forecast , machine learning , probability , randomized control trials , regression , statistics

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Ce projet est supervisé par des membres du réseau international pour une science économique pluraliste, dans la sphère germanophone (Netzwerk Plurale Ökonomik e.V.) et dans la sphère francophone (Rethinking Economics Switzerland / Rethinking Economics Belgium / PEPS-Économie France). Nous sommes fortement attachés à notre indépendance et à notre diversité et sommes donc dépendants de donations de personnes telles que vous. Des dons réguliers ou ponctuels sont les bienvenus !