Unit Testing for Data Science in Python

Starting at USD 39.00
4 hours duration

Learn how to write unit tests for your Data Science projects in Python using pytest.

Unit testing is an essential component of every data science project, offering numerous advantages such as saving valuable development and maintenance time, enhancing documentation, fostering end-user confidence, and minimizing downtime of productive systems. Consequently, unit testing has become an indispensable skill in the industry, widely adopted by nearly all companies. This comprehensive course focuses on teaching unit testing in Python, utilizing the highly popular pytest testing framework. By the conclusion of this course, participants will have successfully constructed a comprehensive test suite for a data science project. Throughout the course, individuals will gain proficiency in writing unit tests for data preprocessors, models, and visualizations. Additionally, participants will acquire the ability to interpret test results and rectify any faulty code. Advanced concepts, including Test-Driven Development (TDD), test organization, fixtures, and mocking, will also be covered, equipping individuals with the necessary skills to effectively test their own data science projects.

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DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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