ECON 104
Data Science for Economists
Description: Lecture, three hours; laboratory, one hour. Enforced requisites: courses 11, 103. Enforced corequisite: course 104L. In-depth discussion of multivariate regression. Introduction to estimation of multivariate regression, and confidence intervals and hypothesis tests in context of multivariate regression. Discussion of instrumental variables and binary choice models. Emphasis on hands-on experience on data analytics and real data applications. P/NP or letter grading.
Units: 4.0
Units: 4.0
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Most Helpful Review
Fall 2021 - By far, the absolute most difficult class in the economics department. This class was tough and required a lot of effort to succeed, but it was worth it. It is the class where you learn theoretical but it's also very practical because you get to practice your R skills. The material is very interesting and even though the projects where challenging, it is impressive enough to use during internship/work interviews and gets you interested to learn more. Professor Rojas is one of the smartest and most patient professors. If you are willing to learn, he is more than happy to teach. Definitely attend office hours because you will understand the material and you'll be able to chat with the professor about interesting topics! Before the class, try to get a head start with learning some basic R skills.
Fall 2021 - By far, the absolute most difficult class in the economics department. This class was tough and required a lot of effort to succeed, but it was worth it. It is the class where you learn theoretical but it's also very practical because you get to practice your R skills. The material is very interesting and even though the projects where challenging, it is impressive enough to use during internship/work interviews and gets you interested to learn more. Professor Rojas is one of the smartest and most patient professors. If you are willing to learn, he is more than happy to teach. Definitely attend office hours because you will understand the material and you'll be able to chat with the professor about interesting topics! Before the class, try to get a head start with learning some basic R skills.
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