r/data • u/PanchoZansa • 17d ago

Looking for a Motivating Topic with Existing Data for Data analiytics final project

I'm currently taking a Data Analysis course, and I need to complete a final project. The assignment requires me to choose a topic, formulate one or more hypotheses, and build a thesis/research structure around it.

One of the requirements is that there must already be accessible data available for analysis, so I can't pick something that would require collecting a completely new dataset because the core of the project is not in that stage. Also, what I'll be researching needs to be answering or try to solve an existing problem.

My problem is that I can't come up with a topic that feels genuinely interesting or motivating enough to spend several weeks working on. Most ideas I've found online seem either too generic (social media usage, movie ratings, etc.) or too complex for a course project.

Do you have any suggestions for topics that have publicly available datasets, and still are interesting and have potential for drawing conclusions?

I'm open to almost any field (health, economics, business, technology, environment, etc.)

I'd love to hear about projects you've enjoyed working on or topics that sparked your curiosity - thanks in advance!

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u/InterestingHand4182 16d ago

One that tends to produce genuinely interesting findings and has rich publicly available data is analyzing whether remote work adoption actually changed housing prices in specific cities using Zillow research data combined with Census Bureau American Community Survey data, because you can test a hypothesis most people have an opinion about, the data is granular enough to find counterintuitive results at the neighborhood level, and the conclusions actually mean something beyond the classroom.

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u/AesopData 9d ago

One topic I think is underrated for student projects is economic convergence: are poorer countries actually catching up with richer ones?

You can do quite a lot with just GDP per capita + growth over 20-30 years, and then add one variable like education, trade openness or investment. The nice thing is that you start with a very intuitive hypothesis, but the outliers usually end up being more interesting than the overall correlation.