I will be teaching STAT 10 Applied Data Analysis during Winter Study 2010. It is the successor course to ECON 18 from last January. Below is the draft of my course description. Although I am just as happy to teach this class with 4 as with 40 students, I think that several dozen students would be better off taking my class than taking some of the weaker (but still serious) course offerings. [Which is not to say that the typical student would be better off in my class than in something unusual and/or travel-related.]

Anyway, how should I reword this to make more students (who would benefit) more likely to sign up?

STAT 10 Applied Data Analysis

This class will introduce students to applied data analysis. You will select a topic, gather data, and learn the necessary software tools to replicate the results of a published academic paper (or similarly rigorous study) and then extend those results in a non-trivial manner. Most students will work in teams but solo projects will be permitted. Projects related to Williams are especially encouraged. If you had tried to conduct such research before taking this class, you would have done X well. Now that you have taken the class, you will do Y well, both with your actual paper and with any future research you choose to undertake. The success (or failure) of the class can be measured by comparing Y with X. Students taking this class are much more likely to get desirable internships/jobs than students, all else equal, who do not take this class.
Requirements: 10-page final paper.
No prerequisites. Enrollment limit: 15.
Cost to student: none.
Meeting time: afternoons.

DAVID KANE ’88 (Instructor)

David Kane ’88 has a Ph.D. in Political Economy and Government and is an Institute Fellow at IQSS at Harvard University. He is the CEO of Kane Capital Management and a former member of the Harvard faculty.

This description is much stronger than the one I used for ECON 18 but I am not sure if it will have the intended effect.

I am trying to explain that I am teaching students a set of handy skills that we will useful in any field which involves data analysis. Moreover, being able to analyze data is a great way to get that first internship/job in a new field.


By the way, I had several students tell me (truthfully?) this spring that they would have taken ECON 18 if they had known about it. So, assuming that no one minds too much, I will be doing more “recruiting” via EphBlog.

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