Certificate in HR Data Science & Analytics – Online

Entire course delivered online and accessible at your convenience 

All Assessments can be completed online 

The Certificate in HR Data Science & Analytics is a career-focused programme designed to help learners understand how data can be used to make smarter people, performance, and business decisions. In today’s workplace, organisations increasingly rely on data to understand employees, improve productivity, reduce turnover, plan workforce needs, and support strategic decision-making.

This programme is not only for HR professionals. It is suitable for anyone who makes decisions involving people, teams, performance, customers, operations, or business growth. Whether you are working in HR, management, administration, operations, marketing, customer care, or a supervisory role, HR analytics can help you move away from guesswork and make decisions based on real insights.

The programme enables learners to develop a practical understanding of how workforce data can be collected, analysed, interpreted, and presented to support better decisions. It helps participants understand employee behaviour, performance trends, attendance patterns, recruitment outcomes, training effectiveness, and other people-related insights that are important for modern organisations.

For school leavers, undergraduates, and graduates, this course provides a valuable employability skill that can strengthen career opportunities in HR, business analytics, administration, and management-related roles. For working professionals, it supports career progression by building data-driven decision-making skills that are increasingly expected in modern corporate environments.

Delivered as a 100% online programme, the course is structured to support flexible learning. The programme focuses on practical knowledge, real-world applications, and decision-making skills, helping learners become confident in using HR and workforce data to improve organisational outcomes.

For whom is this Course? 

This programme is designed for:

      • HR Managers, Executives, Officers, and Specialists.
      • Business leaders and managers who make people-related decisions.
      • Supervisors and team leaders handling employee performance.
      • Undergraduates, and graduates interested in HR, analytics, or people data.
      • Working professionals who want to upskill in data-driven decision-making.
      • Professionals in administration, operations, marketing, customer care, or management roles.
      • Individuals interested in HR technology, workforce analytics, and business intelligence.

No advanced technical knowledge is required. The programme is suitable for learners who want to build a practical foundation in HR analytics and data-based decision-making.

What You Will Learn

By following this programme, learners will be able to:

      • Understand the fundamentals of HR analytics and people data.
      • Use data to make better HR and business decisions.
      • Identify key workforce metrics and performance indicators.
      • Analyse employee performance, productivity, attendance, and turnover trends.
      • Understand how analytics supports recruitment, training, retention, and workforce planning.
      • Interpret data to identify people-related problems and opportunities.
      • Present HR insights clearly using dashboards, reports, and visual summaries.
      • Use analytics to support strategic decisions in HR and business management.
      • Understand the role of data in improving employee experience and organisational performance.
      • Build confidence in applying HR analytics to real workplace situations.
      • The entire programme is delivered fully online, allowing students to learn from anywhere in Sri Lanka or around the world.
      • Students are required to maintain a minimum of 80% attendance for all scheduled lectures and academic activities.
      • All lecture sessions are recorded and shared with students for future reference and revision purposes.
      • Students will receive full access to the Learning Management System (LMS) to access lecture recordings, study materials, additional readings, learning resources, assignments, and announcements.
      • The online learning experience is designed to provide flexibility, convenience, and continuous academic support throughout the programme.
      • Students can interact with lecturers and access all academic resources through the LMS at any time during the course period.

Course Content 

Module 1: Foundations of HR Analytics and People Data

      • Introduction to HR analytics and its value for decision-making
      • Difference between HR data, HR metrics, and HR analytics
      • How HR analytics supports recruitment, performance, retention, training, and workforce planning
      • Common HR data sources: HRIS, attendance records, recruitment data, training records, surveys, and performance records
      • Understanding data quality, data accuracy, missing data, and basic data cleaning
      • Ethical use of employee data, confidentiality, and responsible decision-making

Module 2: Workforce Metrics and HR Decision-Making

      • Introduction to key HR metrics in simple terms
      • Understanding turnover, absenteeism, retention, headcount, time to hire, cost per hire, and training effectiveness
      • How to select the right metrics for different HR and business problems
      • Linking HR metrics with business outcomes such as productivity, service quality, employee engagement, and cost control
      • Identifying workforce patterns and warning signs from HR data
      • Practical examples of how managers can use HR data for better decisions

Module 3: HR Data Handling and Basic Analysis

      • Understanding HR datasets in a beginner-friendly way
      • Using tables, rows, columns, categories, and simple data summaries
      • Sorting, filtering, grouping, and comparing HR data
      •  Basic use of percentages, averages, counts, and simple comparisons
      • Analysing attendance, turnover, recruitment, training, and performance data
      • Avoiding common mistakes when interpreting HR data

Module 4: HR Dashboards and Data Visualisation

      • Introduction to HR dashboards and their business purpose
      • Selecting suitable charts and visuals for HR information
      • Creating simple KPI summaries for management decisions
      • Using Excel and/or Power BI for basic HR dashboards
      • Presenting workforce trends clearly without overloading information
      • Designing simple dashboards for attendance, turnover, recruitment, and performance insights

Module 5: Applying HR Analytics to Key HR Functions

      • Recruitment analytics: understanding hiring sources, time to hire, and selection effectiveness
      • Attendance and absenteeism analytics: identifying patterns and possible causes
      • Turnover and retention analytics: recognising employee exit trends and risk areas
      • Performance analytics: identifying performance gaps and improvement needs
      • Training analytics: measuring participation, completion, and practical impact
      • Employee engagement analytics: using survey results to understand workplace issues

Module 6: Storytelling with HR Data

      • Turning HR data into meaningful workplace insights
      • Explaining findings in simple business language
      • Preparing short HR analytics reports for managers
      • Building evidence-based recommendations
      • Using visuals, dashboards, and summaries to support decision-making
      • Presenting HR insights confidently to non-technical audiences

Module 7: Introduction to AI and HR Technology

      • Simple introduction to AI in HR and people analytics
      • How AI supports recruitment, employee engagement, training, performance, and workforce planning
      • Introduction to HR technology tools such as HRIS, ATS, LMS, survey tools, dashboards, and AI-enabled platforms
      • Benefits and limitations of AI in people-related decisions
      • Bias, fairness, privacy, and ethical concerns in HR technology
      • Future trends in HR analytics and workforce intelligence

Module 8: Practical HR Analytics Project

      • Identify a simple HR or workforce problem
      • Select suitable HR data for analysis
      • Prepare basic HR metrics and visual summaries
      • Develop a simple HR dashboard or data summary
      • Interpret key findings in business language
      • Recommend practical actions based on evidence
      • Present HR insights as a short report or presentation

Medium: English Medium

This programme is designed for a wide audience and does not require prior data science experience. It is ideal for:

      • HR managers, executives, and specialists seeking to strengthen their analytical capabilities
      • Business leaders aiming to use data for workforce decision-making
      • Undergraduate / Graduates or professionals aspiring to enter the HR analytics field
      • Anyone interested in people data and HR technology

Schedule

      • Standard Date: Wednesday, 01st July 2026
      • Time: 8.00 pm – 10.00 pm
      • Mode: 100% Online (Live, Interactive Sessions)

Course Registration Fee: Rs. 7,500

Course Fees:

      • Option 1: Paid in 3 instalments: Rs. 15,000 a month x 3
      • Option 2: Paid in Full at the start: Rs. 40,000

Social Security Contribution Levy (SSCL) of 2.5 % would be charged on all above fees

Please call for more details: (+94) 117 181 111 / (+94) 77 220 4101 / (+94) 71 272 4425