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所在平台: Udemy |
课程主页: https://www.udemy.com/course/people-analytics-t/
课程评论：没有评论
课程名称：人力资源分析领导力：做出更智能的员工决策 课程概述：在当今不断发展的职场中，数据在组织管理人员和流程方面发挥着关键作用。人力资源分析（即员工分析）专注于利用数据理解员工趋势，支持人力资源战略，并促进信息化决策。该课程提供了一次实践性的人力资源分析入门，旨在帮助学习者理解如何利用数据探索与招聘、留才、员工参与、绩效和组织结构相关的模式。课程强调基础知识，并鼓励学习者以审慎的方式解读人力资源领域中的数据。 参与者将探讨诸如人力资源指标类型、基本数据可视化技术以及在处理员工数据时的伦理考虑等重要主题。通过案例和指导课程，学习者将研究不同组织如何采用数据驱动的人力资源实践以及这些实践如何与更广泛的商业目标相一致。 本课程不要求具备数据分析的背景，适合人力资源专业人员、团队领导、经理或任何有兴趣学习如何利用员工数据支持日常决策的人士。内容结构旨在帮助参与者增强对关键概念的认知，提高分析和传达数据洞察的信心。 到课程结束时，学习者将熟悉人力资源分析的核心工具和概念，更好地参与与员工数据相关的讨论或倡议。这种基础知识可以应用于各种组织环境中，并可能支持未来在分析、人力资源或商业战略方面的学习。
In today's evolving workplace, data plays a key role in how organizations manage their people and processes. HR Analytics-also known as People Analytics-focuses on using data to understand workforce trends, support human resource strategies, and contribute to informed decision-making.This course offers a practical introduction to HR Analytics, designed to help learners understand how data can be used to explore patterns related to recruitment, retention, employee engagement, performance, and organizational structure. The course emphasizes foundational knowledge and encourages a thoughtful approach to interpreting data in a human resources context.Participants will explore essential topics such as types of HR metrics, basic data visualization techniques, and ethical considerations when working with employee data. Through examples and guided lessons, learners will examine how different organizations approach data-informed HR practices and how those practices align with broader business objectives.No background in data analytics is required. The course suits HR professionals, team leaders, managers, or anyone interested in learning how workforce data can be used to support everyday decision-making. The content is structured to help participants build awareness of key concepts and become more confident in analyzing and communicating data insights.By the end of the course, learners will be familiar with core tools and ideas in HR Analytics and better equipped to participate in discussions or initiatives involving workforce data. This foundational knowledge can be applied in a variety of organizational contexts and may support future learning in analytics, human resources, or business strategy.
