If you type ‘unit test’ into your favorite search engine, you will receive a lot of information for Software Engineering, but very little guidance for Data Science code. In Data Science, the small piece of code that you want to test also needs to take in data, train a model, or evaluate a model, but all of these steps are complicated and consist of many smaller units. In this talk, Dr. Nile Wilson will share her Software Engineering best practices for testing Data Science Code and some of the common scenarios for data, like mocking calls or mocking data. This talk is for anyone bridging the gap between Software Engineering and Data Science, anyone in MLOps, or anyone productionalizing data.
We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!