Hr Analytics Course

Human Resources Analytics is the process of collecting and examining data from various sources to help organizations better manage their HR operations. This course introduces participants to the basics of HR analytics, and how it can be used to support organizational success. By the end of this course, participants will have a thorough understanding of the methods, tools, and techniques for achieving HR analytics in their organization.

Table Of Content:

• Human Resources Analytics | Coursera
• Top HR Analytics Courses Online - Updated [January 2023] | Udemy
• SHRM People Analytics Specialty Credential
• 8 Best HR Analytics Courses for New-Age HR Professionals ...
• 11 HR Analytics Courses Online: Learn about People Analytics | AIHR
• Human Resources (HR) Analytics Certificate - eCornell
• The 6 Best HR analytics certifications | HRForecast
• HR Analytics Certification Course Online - IIT Roorkee
• HR Analytics | Certificate Program | AIHR | Online HR Course
• HUMAN RESOURCES ANALYTICS | A live online course with ...

What topics does this course cover?

This course covers topics such as data collection and analysis techniques, machine learning algorithms, HR metrics and dashboards, performance management systems, talent management practices, employee engagement strategies, workforce optimization models and more.

Is there any prior knowledge or experience needed before taking this course?

No prior knowledge or experience is required; however a general understanding of concepts related to statistics, business intelligence and human resources is recommended.

Does this course provide industry certifications?

Upon successful completion of this course you will receive a Certificate of Completion from your instructor that acknowledges your expertise in Human Resources Analytics.

Conclusion:
In conclusion, this Human Resources Analytics Course provides an introduction to the basics of HR analytics and allows participants to develop an understanding for using them in their organization. It covers topics such as data collection techniques, machine learning algorithms and workforce optimization models with the possibility for certification on successful completion.