With advances in technology and cloud computing, numerous data sources are available to drive organizational success. High-performing HR teams use data as a "decision science" by identifying metrics and data sources that deliver organizational insights. This course focuses on identifying effective data sources, developing meaningful metrics, designing long-term measures, and applying results in support of organizational strategy and tactics.
By the end of this course, you will be able to:
- Identify effective data sources for HR analytics.
- Develop meaningful HR metrics and KPIs.
- Design long-term measures for organizational strategy.
- Apply data insights to drive business outcomes.
Welcome to the Human Resources Analytics course! We will begin this course by exploring the Human Resources Metric Life Cycle, which will include an analysis of the employee life cycle, HR agility, and the various types of metrics used to measure and drive business outcomes.
What's included
5 videos3 readings4 assignments
Show info about module content
5 videos•Total 13 minutes
What is a Metric? Why Do I Need One?•3 minutes
The Employee Life Cycle & Employee Experience•3 minutes
What Makes a Good Metric?•3 minutes
The Five Main Types of Metrics: Hard Metrics•4 minutes
The Five Main Types of Metrics: Soft Metrics•1 minute
3 readings•Total 40 minutes
Course Overview•5 minutes
Welcome to Module 1•5 minutes
HR Metrics, Workforce Trends, and the Employee•30 minutes
4 assignments•Total 55 minutes
Knowledge Check 1•5 minutes
Knowledge Check 2•5 minutes
Creating & Delivering Metrics to an Organization•15 minutes
Module 1 Quiz•30 minutes
Staffing, Training and Compensation
Module 2•2 hours to complete
Module details
In this module, we dive deep into three different types of metrics - staffing, training, and rewards metrics. We explore the various HR functions and the role these functions play in the success of recruiting, hiring, and retaining quality hires. We also look at the key metrics that serve as business drivers for all three types of metrics.
What's included
9 videos2 readings5 assignments
Show info about module content
9 videos•Total 16 minutes
HR Function: Recruiting•1 minute
Quality and Quantity•2 minutes
Speed, Customer Satisfaction, and Cost•3 minutes
5-Point Metric Story•1 minute
HR Function: Training•4 minutes
HR Function: Rewards•1 minute
Compensation Metrics•2 minutes
Benefit Metrics•2 minutes
Rewards Conclusion•1 minute
2 readings•Total 35 minutes
Welcome to Module 2•5 minutes
L&D Strategy and Total Rewards•30 minutes
5 assignments•Total 60 minutes
Knowledge Check 1•5 minutes
Knowledge Check 2•5 minutes
Knowledge Check 3•5 minutes
Attracting and Tracking Quality Hires•15 minutes
Module 2 Quiz•30 minutes
Employee Relations and the Overall Human Resources Organization
Module 3•2 hours to complete
Module details
As a continuation of the previous module, we now explore employee relations metrics and the HR organization as a whole. We will also identify strategies to track measures and report on those outcomes.
What's included
5 videos2 readings4 assignments
Show info about module content
5 videos•Total 11 minutes
HR Function: Employee Relations•3 minutes
Mental Health•1 minute
HR Function: Overall HR Organization•2 minutes
Employee Experience & The Future•3 minutes
Dashboards & Scorecards•3 minutes
2 readings•Total 35 minutes
Welcome to Module 3•5 minutes
HR Metrics, Dashboards, and Trends•30 minutes
4 assignments•Total 45 minutes
Knowledge Check 1•5 minutes
Knowledge Check 2•5 minutes
Correlating Data with Business Impact•15 minutes
Module 3 Quiz•20 minutes
Building Your Case and Creating Action
Module 4•2 hours to complete
Module details
During this final module, we will explore using the data gathered to effectively create and influence the process of strategic business planning.
What's included
8 videos3 readings4 assignments
Show info about module content
8 videos•Total 19 minutes
Building a Business Case Overview•1 minute
Refresher: Data, Metrics, and Analytics•2 minutes
Why Do I Need to Know How to Build a Business Case?•2 minutes
How to Build a Business Case, Part 1•4 minutes
How to Build a Business Case, Part 2•3 minutes
Telling the Story, Part 1•3 minutes
Telling the Story, Part 2•4 minutes
Course Wrap-Up•1 minute
3 readings•Total 45 minutes
Welcome to Module 4•5 minutes
Data Storytelling•30 minutes
What's Next?•10 minutes
4 assignments•Total 55 minutes
Knowledge Check 1•5 minutes
Knowledge Check 2•5 minutes
HR's Seat at the Table•15 minutes
Module 4 Quiz•30 minutes
Instructor
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Learner reviews
4.6
2,150 reviews
5 stars
69.72%
4 stars
21.39%
3 stars
5.81%
2 stars
1.67%
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Showing 3 of 2150
A
AE
5·
Reviewed on Dec 23, 2025
HR Metrics transform data into decisions, and this course opens our minds to exactly that. Thank you University of California, Irvine for this opportunity.
O
OO
5·
Reviewed on Jan 25, 2022
This course has been an eye opener to hidden and educative facts about People Analytics. I recommend this course to anyone along the corridor of HR, People analytics, R and D etc
R
R
5·
Reviewed on Aug 23, 2021
This course has instilled my knowledge acumen with sufficient knowledge support which will lead my confidence in further application in my profession!! Thanks
What will I actually learn in this HR analytics course?
You'll learn how to use HR data to make better decisions across the employee lifecycle, from hiring and training to retention. It starts with choosing and interpreting useful metrics, then builds into linking those measures to business strategy and presenting them in a business case. You'll apply that in quizzes and written exercises where you judge metrics for issues like recruiting quality or turnover.
Do I need any HR or analytics background before starting this course?
No, this course is aimed at beginners and starts with the basics of HR metrics. Some familiarity with workplace or HR terms may help, because the examples move into recruiting, compensation, employee relations, and turnover. You don't need prior analytics training to follow the course.
Is this course beginner-friendly for HR analytics?
Yes, especially if you want a broad introduction to using data in HR rather than advanced analysis. The course explains what makes a metric meaningful, how metrics connect to the employee lifecycle, and how HR teams use them to support business goals. It may feel too introductory if you're already looking for deep statistical methods.
How long does it take to complete this course?
Plan for about 7 hours in total. That's manageable in a few focused study sessions, with time spread across short lessons, readings, and checkpoints where you think through HR measurement problems. The course includes lessons, readings, quizzes, and written assignments.
Are there hands-on exercises or projects in this course?
Yes, but the practice is guided rather than project-heavy. You'll complete quizzes and written assignments that ask you to evaluate metrics, reflect on common measurement mistakes, and connect data to issues like turnover, hiring quality, or employee relations. That gives you a chance to apply each idea as you learn it.
What skills and topics are covered in this course?
The course centers on HR metrics and KPIs, especially how to choose measures that support business goals. You'll use those ideas in areas like recruiting, training, compensation and benefits, employee relations, and employee experience, then learn how dashboards, scorecards, and business cases help communicate results. Overall, it teaches you how to turn workforce data into clearer strategic decisions.
What can I actually do after finishing this course?
By the end, you should be able to identify useful HR data sources, define meaningful metrics, and explain what those measures mean for the business. For example, you could assess recruiting or turnover metrics, spot weak measurement choices, and outline a case for change using evidence. The emphasis is on making stronger HR decisions, not on advanced statistical modeling.
Is this course more focused on theory or hands-on learning?
It's more concept-first, with guided practice built in. Most of the course explains how HR metrics support decisions, then reinforces that through quizzes and short written assignments rather than labs or large projects.
Why would I choose this course over other HR analytics courses?
This course stands out if you want HR analytics taught as decision-making, not just as metric reporting. It follows the employee lifecycle and shows how data supports recruiting, training, rewards, employee relations, dashboards, and business cases, so the material stays tied to real HR work. If you want a beginner course that connects HR data to strategy and communication rather than advanced technical analysis, this is a strong option.