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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-product-management/
课程评论：没有评论
课程总结：数据产品管理 - 促进职业发展 欢迎参加我们的课程《数据产品管理：促进职业发展》。本课程旨在为您提供领导数据驱动项目、有效管理数据产品和推动组织变革所需的技能和知识。在本课程中，您将获得以下内容： - **实践技能发展**：提供数据产品管理的实践经验和实用技能。 - **最佳实践**：理解核心价值观和原则，采用“数据即产品”的思维方式。 - **战略洞察**：定义能力、设定目标与关键结果，推动组织转型。 - **职业提升**：特定知识与有价值的证书，为职业发展助力。 课程模块包括： 1. **采用数据即产品的思维** - 理解数据作为产品的核心原则，包括生命周期、所有权和质量。 - 学习如何通过采用数据即产品思维促进创新和决策。 2. **数据产品管理的五大核心价值** - 掌握可发现性、可操作性、可靠性、可治理性和伦理性五大原则。 - 学习在组织中实施这些核心价值以提高数据产品的质量和有效性。 3. **探索数据产品的类型** - 辨识不同类型的数据产品，包括分析与商业智能产品、营销数据产品、人工智能与机器学习产品等。 - 学习每种类型数据产品在实际场景中的应用及其带来的具体好处。 4. **整合产品管理原则** - 学习将核心产品管理技术应用于数据产品，包括用户研究、产品设计、原型制作和测试。 - 制定全面的产品路线图并对齐利益相关者，以确保数据产品的成功开发和发布。 5. **通过目标与关键结果解锁能力** - 定义和衡量目标与关键结果（OKRs），推动战略举措和有效跟踪进展。 - 辨识并解锁组织中的关键能力，以实现业务目标和促进持续改进。 6. **增强和扩展您的数据产品** - 建立服务水平协议（SLA），监控性能并设置关键绩效指标（KPI），确保数据产品的可靠性与效率。 - 掌握有效扩展数据产品的策略，确保数据安全及访问管理。 7. **领导组织变革和职业成长** - 学习推动组织变革的策略，重点培育数据驱动文化并克服对新数据举措的抵制。 - 掌握提升职业生涯的实用步骤，包括个人品牌建设、技能提升和行业内的网络联系。 8. **课程回顾 - 关键收获与应用** - 复习并强化在整个课程中学习到的基本概念、技能和方法，以确保全面理解与记忆。 - 参与一个最终课程项目，整合所学概念，展示您在现实场景中应用数据产品管理原则的能力。 本课程将为您职场中的数据产品管理领域提供重要的知识和工具，助力职业发展。
Welcome to our course Data Product Management: Grow Your Career This course is designed to equip you with the skills and knowledge to lead data-driven initiatives, manage data products effectively, and drive meaningful change with in your organization.In this course, you will gain:Practical Skill Development: Hands-on experience and practical skills in data product management.Best Practices: Understanding core values and principles, adopting the Data As A Product mindset.Strategic Insight: Defining capabilities, setting objectives and key results, and driving organizational transformation.Career Advancement: Specialized knowledge and a valuable certificate for career growth.Module 1: Adopting the Data As A Product MindsetKey Objectives:1. Grasp the Core Principles: Understand the fundamental concepts of treating data as a product, including its lifecycle, ownership, and quality.2. Recognize the Benefits to the Organization: Learn how adopting the Data As A Product mindset can drive innovation, improve decision-making, and enhance overall organizational efficiency.Module 2: The 5 Core Values of Data Product ManagementKey Objectives:1. Master the 5 Core Values: Gain a comprehensive understanding of the five foundational principles of Data Product Management: Discoverable, Actionable, Reliable, Governable, and Ethical.2. Apply Core Values to Your Organization: Learn practical methods to implement these core values in your organization to enhance data product quality and effectiveness.Module 3: Exploring The Types of Data ProductsKey Objectives:1. Identify Different Types of Data Products: Understand the various types of data products, including Analytical & BI Data Products, Marketing Data Products, AI & ML Data Products, and Gen AI Data Products.2. Recognize Applications and Benefits: Learn how each type of data product is used in real-world scenarios and the specific benefits they bring to organizations.Module 4: Integrating Product Management PrinciplesKey Objectives:1. Apply Product Management Techniques: Gain proficiency in applying core product management techniques to data products, including user research, product design, prototyping, and testing.2. Develop Effective Product Roadmaps: Learn to create comprehensive product roadmaps and align stakeholders to ensure the successful development and launch of data products.Module 5: Unlock Capabilities with Objectives & Key ResultsKey Objectives:1. Define and Measure Objectives and Key Results (OKRs): Understand the framework for setting and measuring Objectives and Key Results to drive strategic initiatives and track progress effectively.2. Enhance Organizational Capabilities: Learn how to identify and unlock key capabilities within your organization to achieve business goals and foster continuous improvement.Module 6: Enhancing and Scaling Your Data ProductKey Objectives:1. Implement Effective Monitoring and SLAs: Learn to establish Service Level Agreements (SLAs), monitor performance, and set Key Performance Indicators (KPIs) to ensure data product reliability and efficiency.2. Scale and Enhance Data Products: Gain strategies for introducing new data sets and features, ensuring data security, and managing access to scale your data products effectively while maintaining high standards of confidentiality and performance.Module 7: Leading Organizational Change & Growing Your CareerKey Objectives:1. Drive Organizational Transformation: Acquire strategies for leading change within your organization focusing on fostering a data-driven culture and overcoming resistance to new data initiatives.2. Grow Your Career in Data Product Management: Learn practical steps to elevate your career, including personal branding, skill enhancement, and networking within the field of data product management.Module 8: Course Review - Key Takeaways & ApplicationKey Objectives:1. Summarize Key Learnings and Skills: Review and reinforce the essential concepts, skills, and methodologies covered throughout the course to ensure comprehensive understanding and retention.2. Apply Knowledge Through a Capstone Project: Engage in a final course project that integrates all learned concepts, demonstrating your ability to apply data product management principles to real-world scenarios.
