Dear users, today we have a very personal request. We have decided to offer our learning materials free of charge because we believe in an open, pluralist economic science that is available to everyone, worldwide. We do this without advertising because we want to remain independent of commercial interests. But our commitment to independence and open access also has its price. Every year we have large costs for programming, staff and to support our authors. If everyone reading this gave a small amount, we could keep Exploring Economics thriving for years to come - but 99% of our users don't give. So today we ask you to protect Exploring Economics's independence. The heart and soul of Exploring Economics is a community of people working to bring you unlimited access to high-qualitiy, economic learning and teaching material. Please take just a few moments to help us keep Exploring Economics going. Thank you!
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Data Analysis for Social Scientists
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.
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This project is brought to you by the Network for Pluralist Economics (Netzwerk Plurale Ökonomik e.V.). It is committed to diversity and independence and is dependent on donations from people like you. Regular or one-off donations would be greatly appreciated.