Key details
Mode of delivery: Classroom-based
Course code: HR55
Duration: 5 days
Fee: £4,065.00 + VAT
CPD Hours: 30
Course Overview
This HR Analytics course provides a comprehensive exploration of HR analytics and its application in modern HR. Participants will gain a deep understanding of how to leverage data to drive strategic decision-making, optimise workforce planning, enhance talent management, and improve overall HR effectiveness. The course covers key areas such as predictive analytics, data interpretation, HR metrics, data visualization, and ethical considerations.
Agenda
Day – 1 Foundations of HR Analytics
- HR Analytics Essentials
- Predictive Analytics in HR
- Workforce Planning and optimisation:
Day – 2 Unlocking the Power of People Data
- People Data and their Sources
- Big Data in HR
- HR Metrics and Measurement
Day – 3 Data-Driven Insights: Interpreting and Communicating HR Data
- Interpreting HR Data
- Using HR Metrics to Drive Decisions
- Communicating HR Data Insights
Day – 4 HR Analytics for Talent Management
- Talent Acquisition Analytics
- Talent Development Analytics
- Talent Retention Analytics
Day – 5 Course Review
- Summary and recap of key learning objectives
- Action Planning
Post-Course
- Three (3) x hour-long Executive Coaching sessions at monthly intervals following Course Completion
Target Audience
This HR Analytics course is suitable for:
- HR professionals
- HR Analysts
- Business Leaders
- Data Analysts
Learning Outcomes
By the end of this HR Analytics course, you will be able to implement a successful strategy that enables you to:
- Define HR analytics and explain its strategic importance in modern HR.
- Describe the role of predictive analytics in forecasting HR trends and mitigating risks.
- Apply analytical techniques to optimise workforce planning and resource allocation.
- Identify and categorise different types of people data used in HR analytics.
- Define and select appropriate HR metrics to measure the effectiveness of HR initiatives.
- Explain the concept of big data in HR and address the associated challenges and opportunities.
- Apply analytical techniques to interpret HR data and identify meaningful trends and patterns.
- Use HR metrics to evaluate the effectiveness of HR programs and make data-driven decisions.
- Communicate HR data insights effectively through visualizations and storytelling.
- Apply analytics to optimise talent acquisition processes and improve hiring decisions.
- analyse employee data to identify skill gaps and personalise development plans.
- Use predictive analytics to identify flight risks and develop effective retention strategies.
