Human Resource Management · PPL

HR Analytics Certification

Develop practical HR analytics skills to analyse workforce data, measure performance, identify trends, and support effective data-driven people decisions.

  • 3 DaysDuration
  • PPLAccredited
  • 3 LanguagesArabic · English · Hindi
  • ₹14,999.00 Per delegate

This course is accredited by PPL

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— The journey

Course Outline

What the programme covers, module by module.

Module 1: Introduction to HR Analytics

  • HR analytics concepts
  • Evolution of people analytics
  • Descriptive analytics
  • Diagnostic analytics
  • Predictive analytics
  • Prescriptive analytics

Module 2: HR Data Fundamentals

  • Types of HR data
  • Structured and unstructured data
  • Employee data sources
  • HR information systems
  • Data collection methods
  • Data quality fundamentals

Module 3: HR Metrics and KPIs

  • HR metrics fundamentals
  • Key performance indicators
  • Leading and lagging indicators
  • Selecting relevant metrics
  • Benchmarking
  • Connecting HR metrics with business outcomes

Module 4: HR Data Preparation

  • Data collection
  • Data validation
  • Data cleaning
  • Handling missing data
  • Removing duplicates
  • Preparing datasets for analysis

Module 5: Workforce Demographics Analytics

  • Workforce composition
  • Headcount analysis
  • Age and experience analysis
  • Department distribution
  • Workforce segmentation
  • Demographic trends

Module 6: Headcount and Workforce Analytics

  • Headcount metrics
  • Full-time equivalent analysis
  • Workforce growth
  • Workforce distribution
  • Staffing ratios
  • Headcount forecasting

Module 7: Recruitment Analytics

  • Recruitment funnel
  • Source effectiveness
  • Time to hire
  • Cost per hire
  • Offer acceptance
  • Hiring quality indicators

Module 8: Talent Acquisition Insights

  • Candidate pipeline analysis
  • Sourcing channel performance
  • Candidate conversion
  • Recruitment efficiency
  • Hiring trends
  • Talent acquisition dashboards

Module 9: Employee Turnover Analytics

  • Employee turnover
  • Voluntary turnover
  • Involuntary turnover
  • Turnover rates
  • Turnover trends
  • Turnover segmentation

Module 10: Retention Analytics

  • Retention rates
  • Retention drivers
  • Employee tenure
  • Retention risk indicators
  • Critical talent analysis
  • Retention strategy insights

Module 11: Absenteeism Analytics

  • Absence rates
  • Absence frequency
  • Absence duration
  • Department-level patterns
  • Seasonal trends
  • Absence cost analysis

Module 12: Performance Analytics

  • Employee performance data
  • Performance ratings
  • Goal achievement
  • Productivity indicators
  • Performance distribution
  • Performance trend analysis

Module 13: Learning and Development Analytics

  • Training participation
  • Learning completion
  • Training hours
  • Learning effectiveness
  • Skills development
  • Learning investment analysis

Module 14: Employee Engagement Analytics

  • Engagement metrics
  • Employee survey data
  • Engagement drivers
  • Satisfaction indicators
  • Employee sentiment
  • Engagement trends

Module 15: Compensation Analytics

  • Salary analysis
  • Compensation distribution
  • Pay positioning
  • Internal pay comparisons
  • Reward effectiveness
  • Compensation trends

Module 16: Diversity and Workforce Representation Analytics

  • Workforce representation
  • Hiring representation
  • Promotion patterns
  • Leadership representation
  • Workforce segmentation
  • Representation trends

Module 17: Workforce Planning Analytics

  • Workforce demand
  • Workforce supply
  • Skills inventory
  • Skills gap analysis
  • Workforce forecasting
  • Scenario analysis

Module 18: HR Data Visualisation

  • Data visualisation principles
  • Selecting appropriate charts
  • Trend visualisation
  • Comparison visualisation
  • Workforce dashboards
  • Presenting HR insights

Module 19: HR Dashboards and Reporting

  • Dashboard design
  • KPI selection
  • Executive HR dashboards
  • Operational dashboards
  • Reporting frequency
  • Dashboard interpretation

Module 20: Statistical Analysis for HR

  • Descriptive statistics
  • Mean, median, and mode
  • Distribution analysis
  • Correlation concepts
  • Trend analysis
  • Interpreting statistical results

Module 21: Predictive HR Analytics

  • Predictive analytics concepts
  • Workforce forecasting
  • Attrition risk
  • Hiring predictions
  • Performance patterns
  • Interpreting predictive insights

Module 22: Data-Driven HR Decision-Making

  • Converting data into insights
  • Identifying workforce issues
  • Developing recommendations
  • Communicating analytical findings
  • Supporting management decisions
  • Measuring HR business impact
— 01.2 · Is it right for you?

Who it's for & what's included

Pick a delivery method to see exactly who it suits and everything you receive.

Who it's for

Classroom

Best for learners who want face-to-face tuition and to network with peers in person.

What's included

Everything you get

  • Live instructor on-site
  • Printed workbook & materials
  • Group exercises & case studies
Who it's for

Online Instructor-Led

Best for learners who want a live instructor and a fixed schedule, without the travel.

What's included

Everything you get

  • Live instructor via video call
  • Digital workbook & resources
  • Session recordings
Who it's for

Self-Paced

Best for self-motivated learners who need maximum flexibility around work and life.

What's included

Everything you get

  • On-demand video lessons
  • Interactive quizzes
  • 24/7 access on any device
— What you will master

Course Objectives

01

Understand HR analytics concepts, methods, and applications.

02

Identify and calculate important HR metrics and workforce KPIs.

03

Prepare and analyse workforce data for meaningful insights.

04

Evaluate recruitment, retention, performance, and engagement trends.

05

Apply workforce planning and forecasting techniques.

06

Create effective HR dashboards and data visualisations.

07

Interpret statistical and predictive HR insights.

08

Use workforce analytics to support strategic HR and business decisions.

— Questions answered

Frequently Asked Questions

Who should attend this course?
This course is suitable for HR professionals, HR managers, HR business partners, workforce planners, talent professionals, and individuals involved in people-related reporting and analysis.
Do I need advanced mathematics knowledge?
No. The course focuses on practical HR analytics and introduces statistical concepts in an accessible and business-focused manner.
What HR areas are analysed during the course?
Participants explore recruitment, headcount, turnover, retention, absenteeism, performance, learning, engagement, compensation, and workforce planning.
Does the course cover HR dashboards?
Yes. Participants learn dashboard design principles, KPI selection, workforce visualisation, executive reporting, and interpretation of HR information.
Will I learn predictive HR analytics?
Yes. The course introduces predictive concepts for workforce forecasting, attrition risk, hiring patterns, and employee performance insights.
— Trusted by learners

What our delegates say

★★★★★

"The structure, the practice exams, the instructor — all top tier. Passed first try."

AS
Aarti SharmaSenior Project Manager · TCS
★★★★★

"Best training I have attended. The content is exactly what modern projects need."

JD
James DonovanProgramme Director · Capgemini
★★★★★

"24/7 support actually means 24/7 — got help on my mock exam at 2am. Worth every dollar."

MO
Maya OkaforPMO Lead · Standard Bank

★ 4.8 / 5 from 12,000+ verified learner reviews on Trustpilot & Google.

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