I'm looking for project ideas that can help me strengthen my Python and R skills, particularly in relation to economics. I have some basic knowledge of Python from university courses, including recursion, and I've done some work with SciPy, NumPy, and Matplotlib for physics labs. I'm preparing to join a university economics project and need to get comfortable with various areas, such as linear regression, data cleaning, APIs, web scraping, machine learning models, causal inference methods, Git, and survey design. If possible, I would love suggestions for one or two projects that would help me learn these skills, preferably with a focus on economics. I should note that I have dabbled in linear and nonlinear regression and done some light data cleaning, but I'm not familiar with APIs or Git, and I'm open to just learning about survey design theoretically.
3 Answers
Think of Git like making a backup before changing something in your project. It lets you save versions, so if you mess up, you can revert to a previous state. It's super useful for tracking your progress.
You might want to scrape housing data from the Zillow API and use different models to predict prices. This project would cover a lot of what you're looking to learn and is super relevant to economics.
Thanks, I think something like this'll work!
For data cleaning, try using Pandas, and for machine learning models, Scikit-learn is a great library. They’ll help you with a lot of the tasks you want to tackle!
Thank you, I'll check those out!
Ahh thank you!