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course | HR Data Analysis

Advance your career with HR Data Analysis. Hands‑on learning in UAE covering data analysis and more. Enroll today.

HRM-504 | HR Data Analysis

Course Sector : HR Strategy and Training

Duration
Date from
Date to Course Venue Course fees Book a course
5 Days28/09/202602/10/2026Dubai$4,250 Book now
5 Days12/10/202616/10/2026Milan$4,950 Book now
5 Days28/12/202601/01/2027Dubai$4,250 Book now
5 Days11/01/202715/01/2027Online$2,150 Book now
5 Days19/04/202723/04/2027Dubai$4,250 Book now

Course Introduction

This training program is designed to enable participants to understand the importance of HR Data analysis, identify the main steps of the HR Data analysis Journey, and develop their skills to gather the appropriate HR data and analyze it perfectly to enhance decision-making abilities and develop HR Performance. 


Course objective

  • Understand the importance of HR Data analytics.
  • Identify HR professional roles and responsibilities in the perfect data analysis process.
  • Identify the main steps of the HR Data Analytics Journey. 
  • Master assessing the organization's readiness for HR analytics.
  • Master building an extraordinary HR Data analytics plan.
  • Understand and apply Data gathering and analysis strategies.
  • Master Analyzing Attendance, absence & well-being.
  • Master Analyze Recruitment & Selection Data.
  • Understand and apply HR Data validation Techniques.
  • Master Using Excel and Power BI in data analysis.
  • Understand how to use data analysis to measure the impact of HR Strategy.
  • Understand how to use Data analysis to measure HR ROI.
  • Master using data analysis in developing a performance management strategy. 

Course audience

  • HR Analysts
  • HR Managers
  • HR Business Partners
  • Talent Acquisition Specialists
  • Compensation and Benefits Analysts
  • Workforce Planning Analysts
  • HR Data Scientists
  • People Analytics Managers
  • HR Directors
  • Organizational Development Specialists

Course Outline | Day 01

Introduction to HR Data Analysis:
 

  • The importance of HR Data analytics.
  • HR professional roles and responsibilities in the perfect data analysis process.
  • What are the main steps of the HR Data Analytics Journey?  
  • How to assess your organization's readiness for HR analytics?
  • Understanding the evidence-based approach.
  • How to build an extraordinary HR Data analytics plan? 

Course Outline | Day 02

Data gathering and analysis strategies:
 

  • What types of HR Data that can be analyzed?
  • How to gather HR Data?  
  • Delphi method.
  • Employee self-assessment and self-report measures.
  • Electronic workforce surveillance & analytics.
  • Extract data from cloud environments.
  • Data analysis Techniques.
  • Analyzing Attendance, absence & well-being.
  • Analyze Recruitment & Selection Data.
  • Analyzing Learning & development data.
  • The most prominent practices used in data mining.
  • Data mining applications.
  • HR Data Validation Techniques.
  • Strategies to verify the accuracy of the data.
  • Data integrity assessment.
  • Practical application.

Course Outline | Day 03

HR Data Analysis Techniques & Practical Applications:
 

  • Data analysis techniques
  • Analyzing Attendance, absence & well-being
  • Analyze Recruitment & selection data
  • Analyzing Learning & development data
  • The most prominent practices used in data mining
  • Data mining applications
  • Practical application (Case studies )

Course Outline | Day 04

Using Excel and Power BI in HR data analysis:
 

  • Using Excel as a data source.
  • Using a folder as a data source.
  • HR Statistics in Excel.
  • The Power BI data model.
  • Explore the statistical summary.
  • Identify outliers with Power BI visuals.
  • Group and bin data for analysis.
  • Apply clustering techniques.
  • Conduct time series analysis.
  • Use the Analyze feature.
  • Use advanced analytics custom visuals.
  • HR Dashboards in Power BI.
  • Creating a Power BI report.

Course Outline | Day 05

How to benefit from HR Data analytics?
 

  • How to measure the impact of HR Strategy?
  • Why deal with employees as assets?
  • How to measure HR ROI?
  • Making better Human capital Investments.
  • How to boost Manpower planning performance?
  • How to boost HR effectiveness and efficiency?
  • Developing a performance management strategy.
  • Workshop. 
Course Certificates
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BOOST’s Professional Attendance Certificate “BPAC”

BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.

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HR data analysis is the process of collecting, examining, and interpreting workforce data to improve human resource decisions related to recruitment, performance, retention, engagement, and workforce planning.
Descriptive Analytics – What happened?Diagnostic Analytics – Why did it happen?Predictive Analytics – What is likely to happen?Prescriptive Analytics – What should be done?
Define the HR objective (e.g., reduce turnover).Collect relevant HR data.Clean and organize the data.Analyze trends and patterns.Visualize findings using dashboards and reports.Generate insights and recommendations.Monitor outcomes and refine HR strategies.
Descriptive Analysis – Summarizes historical data.Diagnostic Analysis – Identifies causes and relationships.Predictive Analysis – Forecasts future outcomes.Prescriptive Analysis – Recommends actions based on data.These analytics techniques help HR professionals make data-driven decisions in talent acquisition, employee engagement, performance management, and workforce planning.
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