Unit Testing for Data Science in Python

Unit testing is a must for every data science project. Unit testing has many benefits. It can reduce development and maintenance times, improve documentation, and increase trust from end-users. It decreases downtime for productive systems. Nearly all companies use unit testing as a standard skill. This course will teach you how to use Python's most popular testing framework, pytest. This course will show you how to create a data science project testing suite. This course will show you how to create unit tests for data models, preprocessors and visualizations. It also teaches you how to interpret the results. Advanced concepts such as TDD, test organization and fixtures, mocking, and how to properly test data science projects will be covered.