HR Data Analytics with Excel and Power BI

HR Data Analytics and Reporting with Excel and Power BI

Unlock HR Insights: Master Excel and Power BI for Strategic, Data-Driven Workforce Decisions

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Platform:
Online
In-class
Date Venue Duration
12 - 16 October 2026 Sandton, Gauteng 5 Days
16 - 20 November 2026 Cape Town, Western Cape 5 Days
02 - 04 December 2026 Sandton, Gauteng 3 Days
18 - 22 January 2027 Sandton, Gauteng 5 Days
22 - 26 February 2027 Sandton, Gauteng 5 Days

Course Introduction

HR data analytics training focuses on the data side of human resource management. By using appropriate techniques and tools, your department will be able to provide decision-makers with valuable insights to enhance people-related decisions. This entry-level HR Data Analytics and Reporting with Excel and Power BI training course offers a solid understanding of HR data analytics, supported by practical case studies that reflect current HR challenges and solutions. 

With a hands-on approach, participants will learn how to merge, clean, and analyse large datasets using industry tools such as Excel and Power BI. Beyond crunching numbers, this course equips you to translate findings into actionable insights, supporting strategic HR initiatives and improving business performance. Through real-world case studies, you will explore best practices for handling HR data and implementing a data-driven approach within your organisation. 

Course Duration Options

This course is available in two formats, so you can choose the depth that fits your time and needs:

3-Day Essentials Core Foundations

HR analytics foundations and techniques, analytical process and statistical methods, and Excel dashboards, Power BI, and applied practice, with the same named case studies and hands-on exercises throughout.

Ideal for: Professionals who need practical, current HR analytics capability without an extended time commitment.

Both formats are delivered face-to-face, virtually, or in-house, and share the same practical, hands-on instructional approach.

Course Objectives

What will I learn from attending this course?
  • Understand the importance of data and analytical processes for driving organisational decisions
  • Use Excel and Power BI to process, combine, clean, and analyse HR data
  • Calculate key HR performance indicators (KPIs) and return on investment (ROI) for HR activities
  • Identify analytical tools and methods for interpreting and presenting HR data
  • Manage the HR analytics process from data collection to actionable insights
  • Learn the most effective ways to visualise and present HR data
  • Generate reports and dashboards that communicate data-driven insights to management
  • Support and coach other HR professionals in data analysis processes
  • Explore case studies on workforce optimisation, employee engagement trends, and predictive HR analytics

Who should attend?

This course is designed for professionals who want to enhance their ability to analyse HR data and make data-driven recommendations. It is ideal for:

  • HR Professionals and Managers Seeking to Implement HR Analytics in Decision-Making
  • Data Scientists and Analysts Working Within HR Departments
  • Business Leaders Interested in Understanding the Impact of HR Data on Overall Performance
  • Anyone Responsible for Workforce Planning, Performance Management, and Employee Engagement Strategies
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Training Methodology

Our diverse instructional approaches ensure effective learning:

– Lectures & Presentations: Engage with expert-driven, stimulating content.
– Course Material: Access well-crafted supporting resources.
– Group Work: Collaborate on discussions and case studies for practical insights.
– Workshops & Role-Play: Participate in immersive, scenario-based activities.
– Practical Application: Focus on applying theoretical knowledge in real situations.
– Post-Training Support: Receive extensive support after training for skill implementation.

Training Outline

3-Day Essentials — Training Outline

DAY 1 — HR Analytics Foundations and Techniques
Overview of HR Analytics
  • Differences between HR metrics and HR analytics
  • The role of HR analytics in strategic decision-making
  • Current trends: people analytics, AI in HR, and predictive analytics
Practical Exercise: Identify one HR decision in your organisation currently made on instinct rather than data.
Analytical Techniques and Data in HR Essentials
  • Determining relevant HR data measures and sources
  • Key HR metrics: turnover rates, engagement scores, and productivity KPIs
  • Linking HR decisions to ROI: a quantitative approach
Practical Exercise: Calculate the ROI of a sample HR initiative using the framework covered in this module.
DAY 2 — Analytical Process and Statistical Methods
Analytical Process and Interpretation of Results Essentials
  • Choosing the right methods for HR data analysis
  • Best practices for data accuracy and validation
  • Tools for HR data analysis: Excel and Power BI
Practical Exercise: Validate a sample HR dataset for accuracy before drawing analytical conclusions from it.
Statistical Analysis for HR Data Essentials
  • Statistical methods in HR analytics: correlation, regression, and hypothesis testing
  • Predictive analytics in HR decision-making
Practical Exercise: Apply a basic statistical test to a sample HR dataset to test a real workforce question.
DAY 3 — Excel Dashboards, Power BI, and Applied Practice
Data Analysis and Dashboards in Excel Essentials
  • Cleaning and merging HR data from multiple sources
  • Building dynamic dashboards for workforce analytics
Practical Exercise: Build a dynamic Excel dashboard tracking three key HR variables of your choice.
Visualisations and Reporting with Power BI Essentials
  • Transforming HR data into actionable reports
  • Creating interactive HR dashboards
  • Publishing and sharing HR analytics reports
Practical Exercise: Build an interactive Power BI dashboard from a sample HR dataset and publish it for sharing.

5-Day Comprehensive — Training Outline

Module 1: Overview of HR Analytics
  • Differences between HR metrics and HR analytics
  • Fundamental principles of HR analytics
  • The role of HR analytics in strategic decision-making
  • Current trends: people analytics, AI in HR, and predictive analytics
  • Case Study: Workforce Planning and Optimisation — How a company used HR analytics to improve employee retention.
Practical Exercise: Identify one HR decision in your organisation currently made on instinct rather than data.
Module 2: Analytical Techniques and Data in HR
  • Determining relevant HR data measures and sources
  • Analytical models and frameworks for HR, including the HR3P model
  • Scenario planning and statistical methods for HR analysis
  • Key HR metrics: turnover rates, engagement scores, and productivity KPIs
  • Linking HR decisions to ROI: a quantitative approach
  • Case Study: Employee Engagement Analysis — How data-driven insights helped a tech company boost employee morale and productivity.
Practical Exercise: Calculate the ROI of a sample HR initiative using the framework covered in this module.
Module 3: Analytical Process and Interpretation of Results
  • Choosing the right methods for HR data analysis
  • A step-by-step guide to conducting HR analytics
  • Best practices for data accuracy and validation
  • Tools for HR data analysis: Excel and Power BI
  • Case Study: Diversity and Inclusion Metrics — Analysing HR data to track and improve workplace diversity initiatives.
Practical Exercise: Validate a sample HR dataset for accuracy before drawing analytical conclusions from it.
Module 4: Statistical Analysis for HR Data
  • Types of HR data and their applications
  • Statistical methods in HR analytics: correlation, regression, and hypothesis testing
  • Predictive analytics in HR decision-making
  • Case Study: Predicting Employee Turnover — How predictive analytics helped a financial institution reduce attrition rates.
Practical Exercise: Apply a basic statistical test to a sample HR dataset to test a real workforce question.
Module 5: Data Analysis in Excel
  • Cleaning and merging HR data from multiple sources
  • Exploratory data analysis techniques
  • Scenario planning and simulations in Excel
  • Data visualisation and trend analysis
  • Case Study: Performance Management Dashboards — Using Excel to track and analyse employee performance.
Practical Exercise: Clean and merge a sample multi-source HR dataset in Excel, ready for analysis.
Module 6: Creating Dashboards and Analytical Reports in Excel
  • Advanced Excel functions for HR analytics
  • Building dynamic dashboards for workforce analytics
  • Monitoring key HR variables using automated tracking tools
  • Case Study: HR Compliance Tracking — Ensuring regulatory compliance through data visualisation.
Practical Exercise: Build a dynamic Excel dashboard tracking three key HR variables of your choice.
Module 7: Visualisations and Reporting with Power BI
  • Transforming HR data into actionable reports
  • Connecting and structuring HR data models in Power BI
  • Creating interactive HR dashboards
  • Publishing and sharing HR analytics reports
  • Case Study: HR Cost Analysis — Optimising HR budgets through Power BI-driven insights.
Practical Exercise: Build an interactive Power BI dashboard from a sample HR dataset and publish it for sharing.
Final Project and Certification
  • Participants will work on a real-world HR analytics project using Excel and Power BI.
  • They will be required to analyse HR data, create dashboards, and present insights to a simulated executive team.
  • Upon successful completion, participants will receive a certificate of completion.

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Success Stories

Discover how our courses enhance professionals’ effectiveness in their workplaces.

ELIDZ

Thrive as an Intern: Managing Anxiety, Building Resilience & Handling Rejection

The training was very insightful, contents shared are relatable, and the facilitator is amazing in such a way that he is able to reference practical examples to make concepts understandable and relatable to all. Listening and interacting with him is easy because he opens the platform for everyone, even when he is speaking, you are able to listen attentively with understanding because he is well informed, passionate, and well prepared. He knows his story. Lastly, the session is very interactive and interesting, you constantly looking forward to hear more and say more as well.

East London IDZ

Managing Anxiety, Building Resilience & Handling Rejection

The training was very insightful, and I learnt a lot about Resilience & Handling Rejection. I am glad I was part of the training

Central Bank of Lesotho

Unlock HR's Strategic Power with Modern HRIS

The programme was fascinating and informative.

FAQs –HR Data Analytics and Reporting with Excel and Power BI

This HR data analytics and reporting with Excel and Power BI training course equips professionals with advanced skills to analyse workforce metrics, build dashboards, and automate reporting.
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Who should attend this HR analytics and reporting training?
This course is designed for HR managers, human resources professionals, workforce planners, talent acquisition specialists, payroll officers, and business analysts seeking to enhance data-driven decision-making.
What are the key learning objectives of this training program?
Delegates learn to transform raw HR datasets into interactive visual dashboards, analyse staff turnover and performance metrics, streamline reporting workflows, and interpret workforce trends accurately.
How long is the HR Data Analytics and Reporting with Excel and Power BI training course?
The course is delivered as an intensive practical workshop combining hands-on computer lab exercises, real-world HR case studies, and step-by-step dashboard building sessions.
What practical skills will participants gain from this course?
Participants will gain practical skills in using Power Query, DAX formulas, pivot tables, interactive visualisations, and automated templates to track headcount, absenteeism, and diversity metrics.
Can Prospen Africa deliver this course as customized in-house corporate training?
Yes. Prospen Africa provides tailored on-site and in-house group training for organisations, adapting content to use company-specific HR data structures and reporting requirements.
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