Human Resource Analytics

The HR Analytics course will guide you through advanced analytics techniques used to support key HR initiatives, including talent acquisition, performance evaluation, talent development, leadership building, promotions and succession planning, job design, compensation, and employee engagement.

Learning Outcomes of HR Analytics Course

• Apply HR analytics to solve various HR & Business challenges
• Identify and list the KPIs for various roles according to their responsibilities
• Communicate the significance of data in Human Resource (HR)
• Use HR dashboards to tell stories that can sell to the business heads
• Optimize resource utilization using workload analysis
• Read and clean the HR data from an extensive database
• Use Tableau as a tool to analyse HR data effectively
• Analyse the stages of diagnostic, predictive and prescriptive analytics in HR

Skills & Tools Covered in HR Analytics Course

• Data Analysis
• Data Structuring
• Learn what drives Statistical Analysis
• Cost and effort analysis
• Jamovi
• Power BI
• Tableau
• MS Excel for HR Professionals

Essential subjects addressed in the certification course

Module 1: Introduction to HR Analytics Course

• Introduction to HR Analytics, People Analytics & Workforce Analytics
• HR Analytics & the Organizational Structure
• Types of Data
• HR Analytics & HRBP

Module 2: HR Analytics - Tools & Models

• Understanding terminologies
• Analysis vs Analytics
• Big data
• Evidence-based HR
• Sentiment and trend analysis
• Cost modeling
• HR data warehousing
• Data integration
• Maturity Model
• Other Models
• Dealing with data
• Decision tree
• Running analytics

Module 3: HR Analytics - Structure & Journey

• Methodology in HR Analytics – Choosing the right Approach
• Data analytics – Outcomes
• The analytics journey – 5 steps
• Types and levels of data used to fuel effective analytics
• Data & metrics – Driving evidence-based human capital decisions
• Human capital analytics for mining organizational data
• People Metrics -Communicating the right way
• Articulating analytical data better comprehension
• Critical Data points for efficient Support system
• Identify criteria for selecting between strategic and tactical analytics initiatives
• Creating the organizational changes required to support an HR analytics infrastructure
• CHRMP model of HR Analytics
• Predictive Analytics Case Discussion

Module 4: Talent Acquisition Analytics

• Understanding Approach – Recruitment and Talent Acquisition.
• TAA Trends
• Analytics for Efficiency
• Analytics for Effectiveness
• Analytics for Impact
• Implementing TA Analytics
• Data Mining
• Metrics, segmentation and impact
• TA – Questions you ask
• TA – Metrics to track

Module 5: Workload Analytics

• Introduction
• Optimization of workforce
• Full Time Equivalent
• Staggered Shift Approach
• Utilization time
• Realization Time
• AAI Case Discussion

Module 6: Performance Management Analytics

• Understand terms such as vision, mission, values, strategy and link among them
• SWOT & PEST Analysis
• Perspectives and themes
• Strategy Maps
• Cascading
• KPIs and associating it to roles
• Adding reality to a vague objective
• Lead measure
• Lag measure
• Rating and finalizing the KPIs

Module 7: Talent Analytics

• Effectiveness and Impact of training interventions
• L1 and L2 feedback
• Case discussion
• ROI Calculation
• Training & Attrition cost impact
• Understanding difficult graphs
• Cost of absenteeism
• Cost of attrition
• Key Metrics for Employee Engagement
• Case Discussion – Attrition Management
• Tracking and measuring important compensation metrics

Module 8: Compensation & Benefits Analytics

• Introduction to Compensation &
• Benefit analytics Benchmarking and market positioning strategies.
• Salary structure design and analysis techniques.
• Pay Equity analysis methods.
• Incentive and bonus structure optimization.
• Benefits utilization and importance.
• Forecasting and budgeting in compensation analysis mastery.
• Most used compensation metrics

Module 9: Data Gathering and Management

• Understanding and identifying business data
• Implementation of HR Analytics to business data
• Business parameters
• Business metrics driving HR
• Revenue per FTE
• Profit per FTE
• TCOW
• ROI on human capital
• Case Discussion – Understanding business performance

Module 10: Data & Metrics

• Statistical tools
• KPI vs metrics
• Creating metrics
• Applying metrics to data
• Data sense and pattern reading
• Metrics that drive People analytics
• Case discussion & Activity
• Assignment – Analyzing Diversity

Module 11: Statistics

• What is statistics
• Categories of data
• Types of Statistics
• Descriptive statistics
• Introduction to Statistical Charts
• Analysis tools
• Using Data Analysis to derive Descriptive statistics
• Creating a Scattered plot
• Creating a Boz and Whisker Chart
• Statistical analysis using – Co-relation & Co-efficient of variation
• Statistical Analysis using Regression
• T-test – 2 samples assuming equal variances
• Statistical Predictive Models
• Decision Trees Models
• Central tendency, asymmetry, and variability
• Hypothesis testing
• Activity and Recap

Module 12: Storytelling & Tableau

• Introduction to Tableau
• Tableau Download Desktop
• Tableau Install Desktop
• Connecting with different database
• Measure names and values
• Tableau VS Excel
• Live VS Extract
• Tableau Data Type
• Tableau View Data
• Tableau Drill down and Hierarchies
• Tableau Sorting – Column and Values
• Tableau grouping
• Tableau Column formatting
• Tableau sets

Module 13: Building Business Cases and Choosing the HR Project

• Problem Statements
• Solution Categorization
• Starting with HR Analytics for your team
• Estimation Analysis
• Effort & Cost Matrix
• Choosing the right Project
• HR & Business Outcomes
• Understanding Financial Data
• Case Discussion – P&L study & solving HR problems