+254 721 331 808    training@upskilldevelopment.com

HR Data Analytics Using Power BI Training Course

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Course Duration 5 Days

Online Training Registration

Training Mode Platform Fee Enroll
Online Training Zoom/ Google Meet 900USD Register

Classroom/On-site Training Schedule

Course Date Location Fee Enroll
17/08/2026 to 21/08/2026 Nairobi 1,500 USD Register
17/08/2026 to 21/08/2026 Kigali 2,500 USD Register
17/08/2026 to 21/08/2026 Mombasa 1,750 USD Register
21/09/2026 to 25/09/2026 Nairobi 1,500 USD Register
21/09/2026 to 25/09/2026 Mombasa 1,750 USD Register
21/09/2026 to 25/09/2026 Dubai 4,900 USD Register
19/10/2026 to 23/10/2026 Nairobi 1,500 USD Register
19/10/2026 to 23/10/2026 Mombasa 1,750 USD Register
16/11/2026 to 20/11/2026 Nairobi 1,500 USD Register
16/11/2026 to 20/11/2026 Mombasa 1,750 USD Register
16/11/2026 to 20/11/2026 Kigali 2,500 USD Register
21/12/2026 to 25/12/2026 Nairobi 1,500 USD Register
21/12/2026 to 25/12/2026 Dubai 4,900 USD Register
21/12/2026 to 25/12/2026 Mombasa 1,750 USD Register

Course Introduction

Organizations are increasingly relying on data to make informed human resource decisions that improve workforce productivity, employee engagement, talent acquisition, and overall organizational performance. Microsoft Power BI has become one of the most powerful business intelligence platforms for transforming raw HR data into meaningful dashboards, reports, and visual insights. This course provides participants with practical skills to collect, analyze, visualize, and interpret workforce data using Power BI while supporting evidence-based human resource management and strategic business decision-making.

Human resource professionals are expected to move beyond traditional reporting by leveraging analytics that provide deeper insights into workforce trends, employee behavior, recruitment performance, turnover patterns, diversity indicators, learning outcomes, and workforce planning. Through this training, participants will learn how to integrate HR data from multiple sources, clean and transform datasets, develop interactive reports, and create executive dashboards that provide timely and actionable workforce intelligence for organizational leaders.

The course emphasizes practical application of Power BI tools including Power Query, Data Modeling, Data Analysis Expressions (DAX), interactive visualizations, automated reporting, and dashboard development specifically tailored to human resource management. Participants will gain hands-on experience working with HR datasets to identify workforce trends, monitor key performance indicators, forecast talent requirements, and evaluate organizational performance using industry best practices and modern analytical techniques.

As organizations adopt digital HR systems, artificial intelligence, cloud computing, predictive analytics, and automation technologies, HR professionals require advanced analytical capabilities to remain competitive. This course explores emerging topics including AI-powered analytics, predictive workforce modeling, people analytics, self-service business intelligence, responsible data governance, and data storytelling techniques that improve organizational decision-making and strategic workforce planning.

Participants will also learn how to develop meaningful HR metrics, measure recruitment efficiency, monitor employee engagement, analyze absenteeism and turnover, evaluate workforce diversity, assess learning effectiveness, and create visually compelling dashboards that communicate insights clearly to executives and other stakeholders. The training incorporates practical case studies, guided exercises, and real-world HR scenarios to strengthen participants' analytical confidence and reporting capabilities.

Upon completion of this course, participants will be able to design comprehensive HR analytics solutions using Microsoft Power BI, automate workforce reporting processes, improve HR decision-making through interactive dashboards, and support organizational performance using predictive workforce insights. They will possess practical competencies required to transform workforce data into valuable business intelligence that enhances strategic human resource management and organizational success.

Duration

5 days

Who Should Attend

  • Human Resource Managers

  • Human Resource Officers

  • HR Business Partners

  • HR Analysts

  • People Analytics Specialists

  • Recruitment and Selection Officers

  • Learning and Development Managers

  • HR Information System (HRIS) Administrators

  • Workforce Planning Specialists

  • Organizational Development Professionals

  • Compensation and Benefits Officers

  • Employee Relations Managers

  • Business Intelligence Analysts

  • Data Analysts supporting HR functions

  • Operations Managers

  • Performance Management Specialists

  • Corporate Planning Officers

  • Public Sector Human Resource Professionals

  • Microsoft Power BI Users working with HR data

  • Anyone responsible for HR reporting and workforce analytics

Course Objectives

  • Develop practical skills to import, clean, transform, and organize HR datasets using Microsoft Power BI for accurate workforce analysis and strategic human resource reporting.

  • Create interactive HR dashboards and visual reports that effectively communicate workforce performance, recruitment outcomes, employee engagement, and organizational trends to decision-makers.

  • Apply Power Query and data transformation techniques to prepare workforce information from multiple HR systems while ensuring consistency, quality, and reporting accuracy.

  • Design efficient HR data models that integrate employee records, payroll information, recruitment data, performance metrics, and learning records into comprehensive analytical solutions.

  • Utilize Data Analysis Expressions (DAX) to build calculated columns, performance measures, workforce indicators, and dynamic HR metrics that support evidence-based organizational decisions.

  • Analyze employee turnover, absenteeism, recruitment efficiency, workforce diversity, learning effectiveness, and performance trends using advanced Power BI analytical capabilities.

  • Develop predictive workforce analytics dashboards that support talent forecasting, succession planning, workforce planning, and proactive human resource management initiatives.

  • Apply best practices for HR data governance, employee privacy, ethical reporting, and secure workforce information management while complying with organizational and legal requirements.

  • Automate HR reporting processes using Power BI dashboards, scheduled refreshes, and self-service business intelligence techniques that improve reporting efficiency and reduce manual effort.

  • Implement comprehensive HR analytics solutions that enable continuous workforce monitoring, executive reporting, strategic planning, and measurable improvements in organizational performance.

Course Outline

Module 1: Introduction to HR Analytics and Power BI

  • Understanding business intelligence concepts and their application in human resource management

  • Introduction to Microsoft Power BI interface, architecture, and analytical capabilities

  • Exploring HR analytics frameworks that support strategic workforce decision-making

  • Setting up Power BI environments for effective HR reporting and dashboard development

Module 2: Importing and Preparing HR Data

  • Importing workforce data from Excel, HRIS, databases, cloud platforms, and CSV files

  • Cleaning, transforming, and validating HR datasets using Power Query Editor tools

  • Managing missing values, duplicate records, and inconsistent workforce information

  • Combining multiple HR data sources into unified analytical datasets for reporting

Module 3: Data Modeling for Human Resource Analytics

  • Building efficient HR data models using relationships between workforce datasets

  • Creating star schema models that improve analytical performance and reporting accuracy

  • Optimizing data structures for scalable HR dashboard development and workforce analysis

  • Understanding calculated tables and hierarchical data structures for HR reporting

Module 4: Data Analysis Expressions (DAX) for HR Metrics

  • Developing calculated measures using DAX formulas for workforce performance analysis

  • Creating dynamic HR KPIs including turnover rates, retention, and recruitment efficiency

  • Applying time intelligence functions for historical workforce trend analysis

  • Building advanced calculations that support executive HR reporting requirements

Module 5: HR Dashboard Design and Data Visualization

  • Designing interactive dashboards that communicate workforce insights effectively

  • Selecting appropriate visualizations for employee performance and workforce analytics

  • Creating drill-through reports and interactive filters for executive decision support

  • Applying visualization best practices that improve readability and business understanding

Module 6: Workforce Performance and Talent Analytics

  • Measuring employee productivity, engagement, and organizational performance indicators

  • Analyzing recruitment pipelines, hiring effectiveness, and candidate conversion metrics

  • Evaluating learning and development outcomes using workforce performance dashboards

  • Monitoring employee retention, absenteeism, and workforce wellbeing through analytics

Module 7: Predictive HR Analytics Using Power BI

  • Developing predictive workforce models using historical HR performance data

  • Forecasting workforce demand, staffing requirements, and employee turnover trends

  • Applying AI-powered insights available within Microsoft Power BI analytical features

  • Supporting workforce planning through predictive people analytics dashboards

Module 8: Emerging Technologies in HR Analytics

  • Integrating artificial intelligence capabilities into workforce data analysis processes

  • Exploring Microsoft Fabric, cloud analytics, and enterprise data integration concepts

  • Understanding automation and self-service business intelligence for HR reporting

  • Implementing responsible AI and ethical workforce analytics governance practices

Module 9: Data Governance, Security, and Report Publishing

  • Protecting employee data through Power BI security roles and access controls

  • Implementing HR data governance frameworks and compliance best practices

  • Publishing HR dashboards securely using Power BI Service collaboration features

  • Automating report refresh schedules and enterprise workforce reporting processes

Module 10: HR Analytics Capstone Project

  • Developing an end-to-end HR analytics dashboard using real-world workforce datasets

  • Presenting executive workforce reports with actionable recommendations for leadership

  • Measuring organizational impact through HR analytics performance evaluation techniques

  • Identifying future opportunities for advanced HR analytics, AI integration, and continuous improvement

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.

Course Duration 5 Days

Online Training Registration

Training Mode Platform Fee Enroll
Online Training Zoom/ Google Meet 900USD Register

Classroom/On-site Training Schedule

Course Date Location Fee Enroll
17/08/2026 to 21/08/2026 Nairobi 1,500 USD Register
17/08/2026 to 21/08/2026 Kigali 2,500 USD Register
17/08/2026 to 21/08/2026 Mombasa 1,750 USD Register
21/09/2026 to 25/09/2026 Nairobi 1,500 USD Register
21/09/2026 to 25/09/2026 Mombasa 1,750 USD Register
21/09/2026 to 25/09/2026 Dubai 4,900 USD Register
19/10/2026 to 23/10/2026 Nairobi 1,500 USD Register
19/10/2026 to 23/10/2026 Mombasa 1,750 USD Register
16/11/2026 to 20/11/2026 Nairobi 1,500 USD Register
16/11/2026 to 20/11/2026 Mombasa 1,750 USD Register
16/11/2026 to 20/11/2026 Kigali 2,500 USD Register
21/12/2026 to 25/12/2026 Nairobi 1,500 USD Register
21/12/2026 to 25/12/2026 Dubai 4,900 USD Register
21/12/2026 to 25/12/2026 Mombasa 1,750 USD Register

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