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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-data-stewardship-crash-course/
课程评论：没有评论
**课程名称：** 数据管家速成课 **课程概述：** 本系列课程是关于数据管家（Data Stewardship）的入门介绍。课程将深入探讨数据治理（Data Governance）和数据管家的关键方面，从基本概念定义开始，逐步构建数据治理项目办公室（Data Governance Program Office）的框架和设置。 **核心学习内容：** * **数据解读与维护：** 强调数据并非自明，需要有人来解释其含义、正确使用方法以及评估数据质量。 * **数据所有权与责任：** 面对多方共享和使用数据的复杂性，明确数据的所有者和责任人，尤其是在数据不准确的情况下。 * **数据管理知识：** 帮助学习者掌握关于数据及其重要性的基础知识，以及如何有效地管理数据。 **学习体验：** * 每节课都配有小测验，以巩固和检验对关键知识点的掌握程度。 **适用人群：** * 对数据治理有任何程度了解的学习者，从初学者到高级从业者都适合。 * 本课程作为入门，即使是经验丰富的数据专业人士也能从中获益。后续系列课程将涵盖更高级的主题。 **学习目标：** 通过本课程的学习，学员将获得关于数据重要性、数据解读、维护以及管理的核心知识，为建立和理解数据治理框架打下坚实基础。
Welcome to the Data Stewardship crash course series. This course is the first of several series and we are going to cover the key aspects of data governance and data stewardship, starting with definitions and moving on to a Data Governance Program Office framework/setup.When working with data, there are numerous challenges that need to be overcome, including the fact that Data does not explain itself and someone is needed to ensure that data is not just explained, but maintained. Someone must interpret the data, including what it means, how to use it correctly, and how to determine whether the data is of good quality or not.Data is shared and used by many people for a variety of purposes. So, finding ownership and accountability for the data can be a challenge, in particular when the data is inaccurate.This course will give you the needed knowledge regarding data, its importance, and how to manage it.To ensure the best learning experience, each lesson is accompanied by a quiz to help ensure that the most important topics are really understood and learned.This course series is open to students within all levels of knowledge of Data Governance, from total beginner to advanced. This particular course series is more of an introduction to the topic, but we believe that even for an advanced data practitioner, the course brings value. The subsequent series will touch more advanced topics which may be of more interest for advanced level data practitioners, but taking all the series will ensure no gaps in knowledge.
