HR analytics is the use of data analytics techniques and tools to analyze and interpret employee-related data in order to make data-driven decisions that can improve organizational performance. HR analytics typically involves collecting and analyzing data related to employee productivity, performance, engagement, turnover, recruitment, training, and development.

The main goal of HR analytics is to provide insights into workforce-related issues and identify areas where organizations can make improvements. By using data analytics techniques, HR professionals can better understand the factors that contribute to employee turnover, identify patterns of under-performance, and develop strategies to improve employee engagement and retention.

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Course content

• Introduction
  • The Business Problem
  • Important Note
• Data Collection
  • Data Collection and Architecture
• Dashboard Wireframe
  • Wireframing
• Data Validation
  • Data Validation
• Data Preparation
  • Variable Creation and Ageing Calculation
• Calculation
  • Pivot Tables
• Linked Tables
  • Inter connected Tables
• Charts and Graphs
  • Building the Charts
• Dashboard Layout
  • Dashboard Designing and Layout
• Slicers
  • Pivot connections
• Macro
  • Hide and Seek using Macro
• Final Touch
  • Final Touch to Dashboard
• Presenting the Dashboard
  • Dashboard Presentation
• (Bonus) Why Dashboard?
  • Why dashboard and not a report?
• (Bonus) Analytics Maturity Model
  • Analytics Maturity Model
• (Bonus) Recruitment Metrics and KPI’s
  • Recruitment Metrics and KPI’s
• Bonus – Top Excel Formulas you should know
  • Count and Frequency
  • Largest and Smallest Values
  • Averages
  • Confidence Intervals
  • Percentile, Quartiles and Rank
  • Deviation and Variance
  • Covariance
  • Trend Line Functions