HR Analytics
- Offered byCHRMP
HR Analytics at CHRMP Overview
Duration | 24 days |
Total fee | ₹59,560 |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
HR Analytics at CHRMP Highlights
- Gain a Global Certification validated by Mercer Mettl, establishing proof of competency
- Digital Certificate through Accredible, verified and secured with Blockchain technology?
- Unlimited access to HR Analytics session recordings for 1 year
- Weekly live sessions to clarify topics and ensure two-way communication (optional)
- Complimentary access to career resources to assist with job search and career growth
- Practical learning from industry professionals and consultants to Fortune 100 companies
- Take the exam from the comfort of your home via web proctoring.
- Belong to a network of credential holders from over 55+ countries
- Comprehensive 12-week learning experience through weekly, live, high-quality learning sessions
HR Analytics at CHRMP Course details
- 12 Weekend Virtual Classroom Program
- Weekly 3-hour online boot camps for interactive learning
- Blockchain verified credentials from Accredible
- Assessments in partnership with Mercer Mettl
- Job support through an active alumni network
- Always-on chat support on multiple channels
- Embed Credentials in LinkedIn Profile
- 3 month free CPD Membership
- Designed for working professionals
- HR Analytics course will help you explore the state-of-the-art analytics techniques used to drive HR initiatives such as talent acquisition, performance evaluation, talent development, building leadership, hiring and promotion, job design, compensation, and collaboration
HR Analytics at CHRMP Curriculum
Module 1: Introduction to HR Analytics Course
Setting the context
Gathering expectations
Introduction to HR Analytics
HR Analytics & the Organizational Structure
Types of Data
HR Analytics & HRBP
Case Discussion
Module 2: HR Analytics Course - Models & Tools
Understanding terminologies
Analysis vs Analytics
Big data
Evidence-based HR
Sentiment and trend analysis
Cost modeling
HR data warehousing
Data integration
Maturity Model, Capability Model, Other Models
CHRMP Model for HR Analytics
Dealing with data, Decision tree, Running analytics
Case discussion
Module 3: HR Analytics Course - Structure and 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
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
AI and Talent Acquisition Analytics
Case Discussion
Module 5: Workload Analytics
Introduction
Optimization of workforce
Full Time Equivalent
Staggered Shift Approach
Utilization time
Realization Time
Module 6: Talent Development Analytics
RTCA
Data Methodology – Triangulation
Effectiveness and Impact
L1 and L2 feedback
Exposure to tool – Resultslab
Case discussion
ROI Calculation
Training & Attrition cost impact
Module 7: Employee Engagement Analytics
Employee lifecycle mapping
Understanding difficult graphs
Key applications – 2 As
ELTV – ROI of General People Analytics
Cost of absenteeism
Cost of attrition
Linking data with employee strategy
Enhancing Employee experience
Key Metrics for Employee Engagement
Case Discussion – Attrition Management
Module 8: Compensation Analytics
Understanding compensation analytics
Understanding quantifiable data
Analytics for compensation planning
Creating intelligent grade range
Pay parity tool, Point plan
Competency Scorecard
Case Discussion – External Equity & Survey Analysis
Module 9: 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
Module 10: 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
Introduction to maps
Tableau Discrete Vs Continuous
Tableau Funnel Chart, Tableau Waterfall
Tableau Line Charts, Tableau Parameters
Tableau Bar Chart and Stacked Charts
Tableau Pie Chart, Tableau Label
Tableau Story Point, Custom Territories
Tableau Format Filters, Tableau Shapes
Tableau Sorting, Tableau Pills
Tableau Marks, Dashboards
Module 11: Building a Business Case
HR Value chain and Business Outcome
Defining HR Process and HR Outcomes
Drawing connection between HR Outcome and Business Outcome
Creating Business outcomes
Mckinsey Case discussion
Module 12: Choosing an Analytics Project
Understanding the Effort-Impact Matrix
Mapping Business Challenges on effort-Impact Matrix
Steps involved in choosing the right project
Choosing the Perfect Spot
Module 13: Statistics
HR Value chain and Business Outcome
Defining HR Process and HR Outcomes
Drawing connection between HR Outcome and Business Outcome
Creating Business outcomes
Mckinsey Case discussion
Module 14: Performance Management Analytics
Vision and strategy
SWOT and PEST analysis
Strategic Themes
Balanced Scorecard and its perspectives
Strategy Map and its elements
Cascading strategy
Measures and KPIs
Lead and Lag Measures
Rating and finalising the KPI
HR Analytics at CHRMP Faculty details
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