Human Resource Analytics
Human Resource Analytics
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About the Course
Course Description
The Human Resource Analytics course is designed to provide you with the knowledge and skills to analyze and interpret HR data, enabling better decision-making and improved workforce management. This course covers the core concepts of HR analytics, including data collection, statistical analysis, and predictive modeling, to help you leverage data for optimizing talent acquisition, employee engagement, and performance management. Whether you are an HR professional, data analyst, or business leader, this course will equip you with the tools to drive data-informed HR strategies and improve organizational outcomes.
Throughout the course, you will explore how to apply data analytics to various HR functions, including workforce planning, performance tracking, and employee retention. You will also learn how to use HR metrics and key performance indicators (KPIs) to evaluate business performance and forecast future trends. This course is ideal for professionals looking to modernize HR practices and gain a competitive edge in managing people and processes.
Modules Covered:
Module 1: History of HR Analytics
Module 2: Intro to HRIS/HRMS
Module 3: Predictive Analytics & HR Modeling
Module 4: HR Measurement & Presentation
Module 5: Key HR Metrics
Module 6: Assessment
What You Will Learn
- Introduction to HR Analytics: Understand the fundamentals of HR analytics, including data collection, analysis, and how data-driven insights improve HR decision-making.
- Workforce Planning and Talent Analytics: Learn how to analyze employee data to optimize recruitment, talent management, and succession planning strategies.
- Performance Management and Employee Retention: Use analytics to track employee performance, identify retention risks, and develop strategies to reduce turnover.
- HR Metrics and Key Performance Indicators (KPIs): Explore essential HR metrics, including time-to-hire, employee engagement scores, and performance indicators to monitor business success.
- Predictive Analytics for HR Decision-Making: Gain the skills to use predictive models for forecasting staffing needs, future talent gaps, and organizational growth.
Learning Outcome
This course empowers you to turn HR data into actionable insights, enhance workforce strategies, and drive business success through data-informed decisions.

Potential career paths after completing an AML course
- HR Data Analyst: Analyze HR data to improve hiring, retention, and employee performance.
- People Analytics Specialist: Use data to help organizations make informed decisions about their workforce.
- HR Business Partner: Apply HR analytics to align workforce strategies with business goals.
- Talent Acquisition Analyst: Use data to improve recruitment strategies and candidate selection.
- Compensation and Benefits Analyst: Analyze compensation trends and ensure competitive employee benefit packages.
HR is changing fast, and this course helped me stay ahead. I now know how to read HR metrics and use them for performance tracking, all while learning at my convenience.
Whether you're in recruitment, employee engagement, or HR planning, this course fits in perfectly. And with self-paced access, you’re never behind.
I now use data to improve recruitment and retention strategies. This course explained concepts like attrition analysis and employee engagement in such a simple way.
This self-paced course gave me a clear understanding of how to use data for HR decision-making. I could learn without any time pressure, and it fit perfectly into my schedule.
The course explained complex analytics in a very HR-friendly way. Since there was no time limit, I never felt rushed or confused.