 班级人数--热线:4008699035 手机:15921673576( 微信同号) |
| 增加互动环节，
保障培训效果，坚持小班授课，每个班级的人数限3到5人，超过限定人数,安排到下一期进行学习。 |
| 授课地点及时间 |
上课地点：【上海】：同济大学(沪西)/新城金郡商务楼(11号线白银路站) 【深圳分部】：电影大厦(地铁一号线大剧院站)/深圳大学成教院 【北京分部】：北京中山学院/福鑫大楼 【南京分部】：金港大厦(和燕路) 【武汉分部】：佳源大厦（高新二路） 【成都分部】：领馆区1号（中和大道） 【广州分部】：广粮大厦 【西安分部】：协同大厦 【沈阳分部】：沈阳理工大学/六宅臻品 【郑州分部】：郑州大学/锦华大厦 【石家庄分部】：河北科技大学/瑞景大厦
开班时间(连续班/晚班/周末班）：2024年12月30日 |
| 课时 |
◆资深工程师授课
☆注重质量
☆边讲边练
☆若学员成绩达到合格及以上水平，将获得免费推荐工作的机会
★查看实验设备详情，请点击此处★ |
| 质量以及保障 |
☆
1、如有部分内容理解不透或消化不好，可免费在以后培训班中重听；
☆ 2、在课程结束之后,授课老师会留给学员手机和E-mail,免费提供半年的课程技术支持，以便保证培训后的继续消化；
☆3、合格的学员可享受免费推荐就业机会。
☆4、合格学员免费颁发相关工程师等资格证书，提升您的职业资质。 |
☆课程大纲☆ |
| |
- Introduction
- 1. Why HR / People Analytics is vital now.
- a. The history of HR Analytics.
- b. The rise of People Analytics.
- c. HR Skills of the future.
-
- People Analytics
- 2. Overview of what People Analytics is.
- a. Difference between People Analytics and HR Analytics.
- b. From descriptive, through predictive, to prescriptive analytics.
- c. What competencies do you need to become a HR Analytics Guru.
- d. What is the future of People Analytics
-
- Elements of an Organisation
- 3. What are the key figures to look at in an organization.
- a. Introduction - 11 Key HR Metrics
- b. All key People metrics based on company X (large corporation) KBI whitebook.
- c. How can you connect measures to predict and prescript decision-making.
-
- 4. How can we use data to improve the organization.
- a. Types of data to use in people analytics.
- b. Case studies on how different organization have used data to solve business issues.
- i. Google re:Work project.
- ii. Sigma Company*: Implication-Based Decision Support – from Gartner.
-
- Public Sector
- 5. Creating People Advantage in the Public Sector.
- a. The current state of public sector HR
- b. Acting as strategic partner with the overall organization
- c. Steps to take to launch a HR analytics framework.
-
- Next Steps
- 6. Get started and resources for further inspiration.
- a. How to get started with people analytics. – introduction, examples.
- b. People Analytics Starter Kit
- c. How to build employee trust in people analytics.
-
- Summary and Conclusion
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