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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-quality-testing-unleashed-theory-to-implementation/
课程评论：没有评论
**课程名称：** 数据质量测试的解放：从理论到实践 (Data Quality Testing Unleashed: Theory to Implementation) **课程概述：** 本课程是使用 Python 和强大的 Great Expectations 框架掌握数据质量测试的全面指南。它旨在帮助您通过确保高质量和可靠的数据来提升数据项目。课程内容涵盖从基础理论到实际操作。 **课程内容亮点：** * **数据质量与测试基础：** 深入了解数据质量和测试的核心原则，重点关注准确性、完整性和一致性等关键维度，以及这些要素如何构建可信赖的数据。 * **Great Expectations 框架入门：** 熟练掌握 Great Expectations，这是一个领先的开源数据验证、文档和分析工具。该框架旨在设定和执行数据标准，确保数据达到最高质量基准。 * **Great Expectations 的核心组件：** 学习 Great Expectations 的核心组成部分，掌握构建工作流的方法，熟悉其丰富的期望库，为满足各种数据验证需求做好准备。 * **实践性数据质量测试：** 通过创建多个测试工作流，学习如何发布测试结果、根据测试结果自动化操作，并积累在实际场景中高效管理数据质量测试的经验。 **学习目标：** 完成本课程后，您将对数据质量测试原则有深入的理解，并具备使用 Great Expectations 框架的实践技能，能够交付符合严格质量标准的数据，并自信地将最佳测试实践应用于任何数据项目中。
Data Quality Testing Unleashed: From Theory to Implementation is your comprehensive roadmap to mastering Data Quality Testing using Python and the powerful Great Expectations framework. It is designed for those who want to elevate their data projects by ensuring high-quality and reliable data. This course takes you from foundational principles to hands-on implementation.In this course, we'll explore:Fundamentals of Data Quality & Testing: Discover the core principles that underpin data quality and testing, with a focus on critical dimensions like accuracy, completeness, and consistency. You'll understand how these elements contribute to trustworthy, dependable data.Introduction to the Great Expectations Framework: Gain proficiency with Great Expectations, the leading open-source tool for data validation, documentation, and profiling. This framework is crafted to set and enforce data standards, ensuring that data meets the highest quality benchmarks.The Building Blocks of Great Expectations: Uncover the core components of Great Expectations, learning how to structure workflows that bring them to life. You'll dive into the extensive expectations library, equipping yourself with versatile tools to meet diverse data validation needs.Hands-On Data Quality Testing: With a focus on practical application, this course will guide you through creating multiple testing workflows. You'll learn how to publish results, automate actions based on test outcomes, and build experience in efficiently managing data quality testing in real-world scenarios.By the end of this course, you'll have a thorough understanding of data quality testing principles and hands-on skills in applying the Great Expectations framework. You'll be ready to deliver data that meets rigorous quality standards and confidently contribute to any data project with best-in-class testing practices.
