HR Analytics for Data-Driven Decision Making in HR

Name: Mastering HR Analytics: A Practical Guide for HR Professionals
Availability: InStock

A practical guide to HR analysis perfect for HR analysts and generalists looking to make data-driven decisions.

HR Analytics for Data-Driven Decision Making in HR

At a glance

Duration: 5 days
Format: Classroom
Cities: Prague, London, Doha, Kuwait, Amsterdam, Dubai and more
Next session: 12 – 16 October 2026, Prague
Average fee: 5,800 €

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Mastering HR Analytics: A Practical Guide for HR Professionals

Overview

Workforce data sits in HRIS exports, payroll files, engagement surveys and applicant tracking systems, yet most HR teams still report headcount rather than explain it. This HR Analytics course teaches HR analysts and generalists how to run a real people analytics project: frame a business question, build a hypothesis, clean and join HR datasets in Excel, run descriptive statistics, correlation and regression, and present the answer to line managers. The five days follow one worked case, voluntary attrition in a customer service population, from the first question to an evaluated intervention. This course is delivered by Agile Leaders Training Center.

Who Should Attend

HR analysts and HRIS specialists who maintain and extract workforce data
HR generalists who produce monthly workforce reports
Compensation, talent acquisition and learning analysts who measure their programmes
People analytics team members building evidence for HR decisions
Business intelligence staff supporting HR reporting

Departments and Industries

Suited to teams that hold large employee populations and need to explain turnover and performance with data.

Human resources information systems, people analytics and workforce planning
Reward and compensation, and business intelligence
Contact centres and shared services
Banking and insurance
Retail, hospitality, hospitals and health systems

Learning Objectives

By the end of this course, participants will be able to:

Analyse a vague management complaint and turn it into a testable people analytics question.
Apply consistent formulas for turnover, retention, time-to-fill, absence rate and cost-per-hire.
Use Excel pivot tables and lookups to clean, code and merge HRIS, payroll and survey extracts.
Evaluate t-tests, correlations and simple regression results and interpret p-values without overclaiming.
Build a one-page attrition dashboard and a findings memo for line managers.
Compare before-and-after and control group results to judge whether an HR intervention worked.

Course Agenda

Day 1: Framing People Analytics Questions

From management complaint to analytics question: the attrition case
The analytics maturity ladder: reporting, analysis, prediction
Roles in an analytics project: sponsor, analyst, data owner, privacy officer
Scoping the data request: which HRIS, payroll and survey fields are needed
Agreeing the study question and success measure

Day 2: Hypotheses, Metrics and Data Preparation

Writing testable hypotheses about tenure, pay, manager and shift pattern
Standard HR metric formulas and common calculation errors
Cleaning HRIS extracts and coding exit reasons
Joining employee, payroll and survey tables in Excel with lookups
Producing a clean, documented analysis file

Day 3: Statistical Analysis of Workforce Data

Descriptive statistics and segmenting leavers versus stayers
Correlation and t-tests on HR variables
Chi-square tests for categorical data such as department and shift
Simple and multiple regression to estimate drivers of attrition
Reviewing which hypotheses held, and which did not

Day 4: Communicating Findings and Designing Interventions

Data storytelling for line managers: one chart, one message
Building an attrition dashboard in Excel
Choosing an intervention that matches the drivers found
Defining how the intervention will be evaluated
Drafting the findings memo

Day 5: Evaluating Impact and Presenting the Study

Before-and-after comparisons and control groups
Avoiding false conclusions: confounders and small samples
Data privacy, ethics and consent in employee analytics
Team presentations of the complete attrition study
Planning a first analytics project back at work

Practical Exercises

Participants work in pairs on an anonymised practice dataset of employee records, exit reasons and survey scores, using these suggested activities.

Suggested activity: calculate the core HR metrics from the practice dataset using the metric definitions sheet.
Suggested activity: complete the hypothesis and data request template for the attrition case.
Suggested activity: run a regression with the Excel statistics cheat sheet and record which drivers matter.
Suggested activity: fill in the dashboard and findings memo templates for a line manager audience.

FAQs

Do I need a statistics background?

No. Each statistical idea is explained briefly and then practised immediately in Excel on the course dataset.

Which software is used?

Microsoft Excel, including pivot tables, lookup functions and the built-in statistical tools; no specialist software is required.

Is this an HR strategy course?

No. It is a numbers course for HR: most of the week is spent inside a spreadsheet with realistic HR data, running statistics and building a dashboard.

Conclusion

Participants spend most of the week inside a spreadsheet with real-shaped HR data, running statistics and building a dashboard, and they leave with a complete worked HR analytics study, from the first question to an evaluated intervention, that they can repeat on their own organisation's data.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 81-100 of 100 events

Location	Dates	Duration	Mode	Price
London	Week 26, 2027 28 June – 2 July 2027	5 Days	Onsite	€5,700
Cape town	Week 26, 2027 4 – 8 July 2027	5 Days	Onsite	€4,500
London	Week 27, 2027 5 – 9 July 2027	5 Days	Onsite	€5,700
Langkawi	Week 27, 2027 11 – 15 July 2027	5 Days	Onsite	€6,000
London	Week 28, 2027 12 – 16 July 2027	5 Days	Onsite	€5,700
Johannesburg	Week 28, 2027 18 – 22 July 2027	5 Days	Onsite	€4,500
Vienna	Week 29, 2027 19 – 23 July 2027	5 Days	Onsite	€5,700
London	Week 29, 2027 19 – 23 July 2027	5 Days	Onsite	€5,700
Amsterdam	Week 30, 2027 26 – 30 July 2027	5 Days	Onsite	€5,700
Madrid	Week 30, 2027 26 – 30 July 2027	5 Days	Onsite	€5,700
Kuala Lumpur	Week 31, 2027 2 – 6 August 2027	5 Days	Onsite	€5,200
Lisbon	Week 31, 2027 2 – 6 August 2027	5 Days	Onsite	€5,700
London	Week 32, 2027 9 – 13 August 2027	5 Days	Onsite	€5,700
Abu Dhabi	Week 32, 2027 9 – 13 August 2027	5 Days	Onsite	€4,700
Nairobi	Week 32, 2027 15 – 19 August 2027	5 Days	Onsite	€4,500
London	Week 34, 2027 23 – 27 August 2027	5 Days	Onsite	€5,700
Geneva	Week 34, 2027 29 August – 2 September 2027	5 Days	Onsite	€6,200
Dubai	Week 36, 2027 6 – 10 September 2027	5 Days	Onsite	€4,500
London	Week 36, 2027 6 – 10 September 2027	5 Days	Onsite	€5,700
Cairo	Week 37, 2027 13 – 17 September 2027	5 Days	Onsite	€4,100

Frequently asked questions

What does this course cover?

OverviewWorkforce data sits in HRIS exports, payroll files, engagement surveys and applicant tracking systems, yet most HR teams still report headcount rather than explain it. This HR Analytics course teaches HR analysts and generalists how to run a real people analytics project: frame a business question, build a hypothesis, clean and join HR datasets in…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

HR Analytics for Data-Driven Decision Making in HR