Course Overview

The HR Analytics Course provides learners with a comprehensive understanding of data analytics as applied to human resources. Participants will explore key areas such as workforce analytics, predictive analytics, and data visualisation, using tools and techniques that support data-driven decision-making. The course covers essential skills for collecting, analysing, and interpreting HR data to improve hiring, retention, performance, and workforce planning. By the end of the course, learners will be prepared to use analytics to optimise HR practices and align them with organisational goals.

 

Prerequisites

A basic understanding of HR functions and familiarity with data analysis concepts is recommended.

Target Audience

This course is ideal for HR professionals, managers, analysts, and business leaders looking to incorporate data analytics into their HR functions. It is also suitable for individuals new to HR analytics or looking to enhance their data-driven decision-making skills.

Course Highlights

  • Learn foundational and advanced HR analytics principles.
  • Develop skills in data collection, metrics selection, and predictive analytics.
  • Explore techniques for data visualisation and reporting for stakeholder communication.
  • Gain hands-on experience with analytics tools like Excel, Google Analytics, and HR-specific software.
  • Ensure alignment of HR analytics initiatives with broader organisational objectives.

Course Objectives

By the end of this course, learners will be able to:

  • Define and track HR KPIs that align with organisational objectives.
  • Collect, manage, and analyse HR data to support decision-making.
  • Use performance analytics to optimise employee engagement and productivity.
  • Apply predictive analytics to forecast trends and address HR challenges.
  • Create data visualisations and reports to communicate HR insights effectively.
  • Utilise analytics tools like Excel, Power BI, and Tableau for HR analysis.
  • Translate HR data into actionable strategies for recruitment and retention.
  • Leverage data-driven insights to support strategic HR planning.
  • Ensure data privacy and integrity in HR analytics practices.
  • Make informed, evidence-based HR decisions that drive organisational success.

Course Outline

Instructional Methods: Group discussions on HR analytics fundamentals, practical exercises in KPI selection, and case studies on data-driven HR.

Topics Covered:

  • Understanding HR analytics and its role in HR strategy.
  • Key metrics in HR analytics: turnover rate, employee engagement, absenteeism.
  • Differentiating between descriptive, predictive, and prescriptive analytics.
  • Setting up data collection processes aligned with business objectives.
  • Selecting KPIs to measure HR performance and organisational impact.

Instructional Methods: Hands-on exercises in data sourcing, group discussions on data quality, and case studies on data management in HR.

Topics Covered:

  • Sources of HR data (e.g., surveys, exit interviews, HRIS, performance reviews).
  • Ensuring data quality, consistency, and integrity.
  • Organising and managing data for easy access and analysis.
  • Ethical considerations in HR data collection and privacy.
  • Using data management systems and software effectively.

Instructional Methods: Practical exercises in performance analysis, group discussions on workforce metrics, and case studies on productivity analytics.

Topics Covered:

  • Using data to track and improve workforce productivity.
  • Analysing performance data to support employee development.
  • Identifying and addressing skills gaps through analytics.
  • Developing and measuring the impact of employee engagement initiatives.
  • Supporting performance appraisals with quantitative insights.

Instructional Methods: Hands-on exercises in predictive modelling, group discussions on forecasting, and case studies on predictive HR analytics.

Topics Covered:

  • Introduction to predictive analytics and its application in HR.
  • Predicting employee turnover, retention risks, and flight risk analysis.
  • Using predictive models for workforce planning and talent acquisition.
  • Churn prediction and forecasting employee engagement trends.
  • Leveraging predictive analytics for proactive HR decision-making.

Instructional Methods: Practical exercises in data visualisation, group discussions on reporting strategies, and case studies on HR reporting.

Topics Covered:

  • Creating dashboards for real-time monitoring of HR metrics.
  • Visualising data using charts, graphs, and tables for easy interpretation.
  • Structuring HR reports to communicate insights effectively to stakeholders.
  • Tools for data visualisation: Excel, Power BI, Tableau.
  • Translating complex data into actionable recommendations.

Instructional Methods: Group discussions on data-driven HR strategy, practical exercises in HR decision analysis, and case studies on HR analytics in action.

Topics Covered:

  • Aligning HR analytics initiatives with organisational goals.
  • Using analytics to optimise recruitment, retention, and workforce planning.
  • Developing data-driven strategies to enhance organisational culture.
  • Identifying trends and actionable insights for HR improvements.
  • Implementing feedback loops to refine HR analytics practices.

Certification

A certificate of completion will be awarded upon successful completion of the course.

Course Fees

$788 $488

HR Analytics

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