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People Analytics

Instructor:
Susan Zhu
653
Credits:
3.0
401
Building:
Business and Economics Bldg
Room:
Rm.311
Semester:
Fall 2022
Start Date:
End Date:
Name:
People Analytics
Requisites:

Prereq: Graduate standing.

Class Type:
LEC
6:00 pm
8:30 pm
Days:
M

With the increasing amount of information available in organizations today, talent and business decisions and recommendations will need to be data-driven and evidence-based. This course will provide an introduction to topics and analytical techniques to leverage people-related data into organizational and human resources (HR) insights. Specific topics will include foundational data literacy, data collection and management practices, data analysis techniques, and strategy development. Given the interconnected nature of organizations, students will also learn how networks in organizations (e.g., communication networks, multi-team systems, social capital, networks) can impact people, HR, and organizational outcomes. In this course, students will be able to interpret data-driven insights, learn basic analytical and data visualization skills, and effectively communicate data-supported findings to management.

With the increasing amount of information available in organizations today, talent and business decisions and recommendations will need to be data-driven and evidence-based. This course will provide an introduction to topics and analytical techniques to leverage people-related data into organizational and human resources (HR) insights. Specific topics will include foundational data literacy, data collection and management practices, data analysis techniques, and strategy development. Given the interconnected nature of organizations, students will also learn how networks in organizations (e.g., communication networks, multi-team systems, social capital, networks) can impact people, HR, and organizational outcomes. In this course, students will be able to interpret data-driven insights, learn basic analytical and data visualization skills, and effectively communicate data-supported findings to management.

MGT