The Data Science of Using People Analytics
The Data Science of Using People Analytics
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 30m | 230 MB
Instructor: Serena Huang
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 30m | 230 MB
Instructor: Serena Huang
If you’re looking to improve how you attract, retain, and develop employees, people analytics can be one of the most compelling and effective ways to leverage the full power of data. In this course, instructor Serena Huang shows you how to use people analytics to optimize your talent acquisition and retention strategies.
Learn the basics of people analytics and data-driven human resource management. Find out how to get started navigating data quality, real-world applications, measurement approaches, securing executive buy-in, and the growing impact of new technology on people analytics in action. From talent acquisition to employee retention, diversity and inclusion, and strategic workforce planning, Serena teaches you how to take your data analytics skills to the next level with people. An ideal fit for HR specialists, data science specialists, business leaders, and entrepreneurs, this course prepares you to leverage some of the latest cutting-edge tools in data science.
Learning objectives
- Explain the importance of employee experience and apply best practices for measuring and improving it through techniques such as employee surveys and enhancing the new hire experience.
- Analyze the intersection between technology and people analytics, including the impact of HR tech on people analytics, and demonstrate the ability to select appropriate HR tech solutions while considering responsible and ethical AI practices.
- Evaluate the effectiveness of talent acquisition strategies and develop data-driven approaches to improve the quality of hire through analytics and storytelling techniques.
- Assess employee retention and attrition metrics, and construct data-driven strategies to enhance employee retention by leveraging analytics and effective storytelling methods.
- Examine diversity and inclusion metrics, and formulate data-driven initiatives to promote diversity and inclusion within the organization through analytics and compelling storytelling.
The Data Science of Using People Analytics
