|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-quality-essentials-a-crash-course/
课程评论：没有评论
## 课程总结：《数据质量入门：速成班》 **课程概述：** 本课程旨在为参与者提供在大数据时代理解、评估和提升组织内数据质量所需的知识和工具。虽然本课程不旨在培养数据质量专家，但它将为您打下坚实的基础，让您深刻认识数据质量的重要性，并掌握一些切实可行的数据质量改进措施。 **核心内容：** * **数据质量基础：** 学习数据质量的定义及其在不同操作和分析场景下的重要性。 * **数据质量评估：** 掌握在组织内部评估数据质量的实用方法和工具。 * **数据质量提升策略：** 探索通过流程优化和组织文化变革来提高数据质量的策略。 * **数据管道与数据质量：** 了解如何利用数据管道来改进和监控数据质量。 **适合人群：** 本课程适合所有希望了解和提升数据质量的人士，无需任何前期经验。 **学习目标：** 课程结束后，您将能： * 深入理解数据质量的关键概念及其重要性。 * 掌握评估组织内数据质量的基本方法。 * 了解提升数据质量的实用策略和步骤。 * 对利用数据管道监控数据质量有初步认识。 加入本课程，开启数据质量管理之旅，释放您数据资产的全部潜力！
This course is designed to equip participants with the knowledge and tools necessary to understand, evaluate, and enhance the quality of data within organisational contexts. In today's data-driven world, the significance of reliable, accurate, and high-quality data cannot be overstated.The course is not designed to make you an expert but rather to give you a good grounding in data quality, it's importance and to give you some actionable steps to take after the course.Throughout this course, participants will delve into the fundamental concepts of data quality, exploring its definition and significance in various operational and analytical contexts. Participants will learn practical methodologies and tools for assessing data quality within their organisations and then delve into strategies for enhancing data quality, covering both process-oriented changes and organisational shifts necessary to establish a culture of data quality improvement. We'll look at utilising data pipelines to improve and monitor data quality. No previous experience is required. By the end of this course you should have a good understanding of some of the steps we can take to improve and monitor data quality.Join me on this exciting journey towards mastering data quality management and unleash the potential of your data assets.
