HR DATA ANALYTICS

Live-Online Training: N220,000
Classroom Training: N300,000
3 - 4 participants: 5% discount
5 or more participants: 10% discount

  (Available also for Customized Training by Duration, Venue & Fee)

Course Description

The 4-day HR Data Analytics Training Programme is designed to equip HR professionals with the essential skills and knowledge to effectively leverage data analytics in their human resources practices. Participants will learn how to collect, analyze, and interpret HR data to make informed decisions, enhance workforce performance, and contribute to strategic organizational goals. Through hands-on exercises and real-world case studies, attendees will gain practical experience in using analytics tools and techniques to address various HR challenges.

Course Objectives:

By the end of this training programme, participants will be able to:

• Understand the fundamentals of HR Data Analytics and its applications in modern organizations.
• Identify key HR metrics and data sources relevant to workforce planning, recruitment, performance management, and employee engagement.
• Apply statistical and analytical methods to interpret HR data and derive meaningful insights.
• Use data visualization tools to communicate HR insights effectively to stakeholders.
• Implement evidence-based decision-making processes to improve HR strategies and practices.
• Address specific HR challenges using analytics-based approaches.
• Develop a strategic mindset for integrating HR Data Analytics into organizational goals.

Course Content

DAY ONE

Introduction to HR Data Analytics

• Understanding the role of HR Data Analytics in organizational success
• Exploring the HR Data Analytics process: data collection, analysis, interpretation, and application
• Ethical considerations and data privacy in HR Data Analytics
• Introduction to relevant analytics tools and software
• Data Validation 
• Data Tools
• Sensitizing HR Data Analytics

DAY TWO

HR Metrics and Data Collection

• Identifying and defining key HR metrics
• Data sources for HR Data Analytics: HRIS, surveys, performance records, etc.
• Data preprocessing and cleaning for analysis
• Excel functions used in HR Data Analytics
• References
• Links
• Subtotal and Pivot table
• Hands-on exercise: Collecting and preparing HR data for analysis

DAY THREE

 Analytical Methods for HR Insights

• Descriptive, diagnostic, predictive, and prescriptive analytics in HR
• Statistical techniques for analyzing HR data (e.g., regression)
• Creating meaningful HR insights through data analysis
• Case study: Analyzing turnover patterns and predicting retention strategies
• Excel function used in HR Data Analytics
• Data consolidation
• Conditional Analysis

DAY FOUR

 Data Visualization and Application

• Importance of data visualization in conveying HR insights
• Using tools like Tableau or Power BI to create HR dashboards
• Communicating findings to diverse stakeholders
• Developing an HR Data Analytics strategy for the organization
• Data Visualization
• Types of Charts
• Chart Styles
• Chart Layout
• Chart Colours
• HR Dashboard