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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-introduction-to-data-quality-management-and-chief-data-office/
课程评论：没有评论
课程名称：首席数据官与数据质量加速器：战略到实施 课程概述：随着过去几年各行业AI革命的加速发展，提高数字素养和增强数据分析技能变得愈加重要。本课程展示了最新的组织结构——首席数据办公室（CDO），使组织能够在集中、混合或分散的模式下实现数据和洞察驱动。学员将了解首席数据办公室的各项职能及其角色和责任，掌握实现数据战略愿景所需的关键数字概念。本课程重点介绍完整的数据质量管理生命周期及最佳实践，这是实现高级分析用例（如人工智能、机器学习、区块链、机器人自动化等）的基础。课程中包含练习以巩固对关键概念的理解，以及丰富的阅读材料，以帮助学员更好地吸收这些概念。 完成本课程后，您将全面理解以下主题： - 数字转型 - 首席数据官（CDO） - 首席数据办公室（CDO） - 集中式首席数据办公室组织结构 - 数据战略 - 数据货币化 - 数据治理 - 数据管理 - 数据质量 - 数据架构 - 数据生命周期管理 - 运营智能 - 高级分析与数据科学 - 数据质量目标 - 数据质量六个维度及示例 - 数据拥有者和数据管理者的角色与责任（数据治理） - 数据质量管理原则 - 数据质量管理流程周期 - 数据领域 - ISO 8000 - 数据概况分析 - 数据概况分析技术（Informatica, Oracle, SAP 和 IBM） - 元数据 - 技术元数据与业务元数据的区别 - 业务验证规则 - 数据质量评分卡（包含Informatica示例） - 容忍度 - 根本原因分析 - 数据清理 - 数据质量问题管理（附带可下载的问题管理日志模板） 完成课程后，您将获得课程结业证书。期待在我的课程中欢迎您！ 祝好， Bing
In light of the accelerating AI revolution across industries in the past years, it has never been more relevant than it is now that you should improve your digital literacy and upskill yourself with data analytics skillsets. [updated in 2024]This course features the latest addition of an organisation structure - Chief Data Office which enables an organisation to become data and insights driven, no matter it's in a centralised, hybrid or de-centralised format. You'll be able to understand how each of the Chief Data Office function works and roles and responsibilities underpinned each pillar which covers the key digital concepts you need to know. There is a focus on the end-to-end data quality management lifecycle and best practices in this course which are critical to achieving the vision set out in the data strategy and laying the foundations for advanced analytics use cases such as Artificial Intelligence, Machine Learning, Blockchain, Robotic Automation etc. You will also be able to check your understanding about the key concepts in the exercises and there are rich reading materials for you to better assimilate these concepts.At the end of the course, you'll be able to grasp an all-round understanding about below concepts:Digital TransformationChief Data OfficerChief Data OfficeCentralised Chief Data Office Organisation StructureData StrategyData MonetisationData GovernanceData StewardshipData QualityData ArchitectureData Lifecycle ManagementOperations IntelligenceAdvanced Analytics and Data ScienceData Quality Objectives6 Data Quality Dimensions and ExamplesRoles and Responsibilities of Data Owners and Data Stewards (Data Governance)Data Quality Management PrinciplesData Quality Management Process CycleData DomainISO 8000Data ProfilingData Profiling Technologies (Informatica, Oracle, SAP and IBM)MetadataDifferences Between Technical and Business MetadataBusiness Validation RulesData Quality Scorecard (with Informatica example)Tolerance LevelRoot Cause AnalysisData CleansingData Quality Issue Management (with a downloadable issue management log template)After you complete this course, you will receive a certificate of completion.So how does this sound to you? I look forward to welcoming you in my course.Cheers,Bing
