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Unfortunately, the 5 core courses need to be completed by the end of your junior year in order to earn a data science minor. So, you are not able to complete the minor.

Look carefully through the 5C catalog of courses. Data science ethics courses are common at the 5Cs, but many of the courses are not consistently taught. Additionally, new data science ethics courses commonly crop up. The course should be an ethics course, and it should speak to modern questions / data / AI / information (e.g., ancient philosophical ethics would not count).

Yes, there are other computer programming courses that can count for the minor. Check the catalog for what other computing courses are allowed. Just be aware, if you plan to major in computer science, only CS051 will count as a major requirement.

You get to choose! But remember, the capstone project cannot be in statistics, mathematics, or computer science. It must be in an allied field (and doesn’t need to be a major at Pomona, for example, it could be a project in education).

You should already have a sense for the discipline in which you’d like to complete your capstone project (which is outside of statistics, mathematics, and computer science). If you have a faculty mentor in that discipline, great! Go ahead and ask that person. If you are looking for someone who might align with your interests, check out the list of faculty who are affiliated with the data science minor.

No. The capstone class is only offered each fall. You must take it the fall of your senior year (after having completed the 5 core courses by the end of your junior spring).

Unfortunately, those courses cannot be used for the data science minor requirements. Fortunately, however, such a HS course can often be used as a prerequisite for upper division courses. For example, if you had a strong AP statistics class (and best to have also taken a good bit of math), you should be able to jump into an applied upper division statistics class. And the applied upper division statistics class can count for the statistics requirement for the data science minor.

Maybe, but it isn’t super easy to find such courses. If you are planning to use an abroad class to fulfill a DS minor requirement, you must get the course approved before you go abroad. It is our experience that there are such courses out there, but the majority of requested courses do not fulfill the DS minor requirements.

See some ideas for doing data science at the .

is a weekly data analysis gathering (every Tuesday from 11am-1pm on the second floor of Estella). Each week, a (by the ) publicly. We graph the data, sometimes also applying a machine learning model or creating an interactive graphic. Typically, the work is done in R, so it is a great opportunity to practice your R skills. However, if you prefer to wrangle data in Python or some other language, you are more than welcome to join us and code in your language of choice. You can see some analyses.

The is led by Prof. Charlotte Chang in Bio and EA and is inspired by Prof. Hardin’s #TidyTuesday meetup. This fall (FA 2024), we’re looking at a subset of the Data Science Learning Community’s public datasets that focus on conservation, climate, or environmental issues. Typically, we interact with the data in Python using Google CoLab notebooks, so anyone can open up a script so long as you have an Internet connection and a Google account. In the Fall of 2024, we’re meeting in Seaver South 227, every Thursday from 4-6pm. In the Spring of 2025, the format may shift depending on whether or not some bioacoustic project permits come through that we are waiting to hear back on.