
AI Based HR Analytics Practical Training Bootcamp
February 2 @ 8:00 pm – 10:00 pm
₹2500Certificate Bootcamp in HR Analytics with AI + Power BI + Excel + Tableau
6-day intensive online training Bootcamp
Transform HR decisions with data, dashboards, and predictive insights. Become a data-driven HR professional by mastering HR analytics using AI Tools, Power BI , Tableau & Excel through a highly practical, instructor-led 6-day live online bootcamp. You’ll analyze workforce data, build HR dashboards, and apply predictive people analytics aligned with real business scenarios—ready for immediate deployment in your organization.
Bootcamp Snapshot
- Learning mode: Live online classroom
- Interactive sessions: Instructor-led, case-based learning
- Real-time support: Doubt resolution and guided exercises
- Hands-on practice: Practical demonstrations with datasets
- Bootcamp duration: 6 days (intensive format)
- Schedule: Flexible timings; weekend batches available
- Format: Daily 2 hour sessions + Q&A
Who this Bootcamp is for
- HR professionals & HRBPs: Build analytics capability for strategic decision-making
- Talent acquisition & L&D specialists: Optimize funnels, programs, and ROI
- HR managers & people leaders: Drive data-backed workforce planning and retention
- Business analysts transitioning to HR analytics: Apply BI to people data with confidence
What you’ll be able to do by day 6
- Build HR dashboards: Recruitment, performance, attrition, and workforce planning
- Analyze people data: Clean, structure, and interpret HRIS datasets
- Forecast risks: Apply predictive logic for attrition and engagement signals
- Tell compelling stories: Present insights with executive-ready visuals and narratives
- Deploy with confidence: Use audit-ready templates and repeatable processes
Bootcamp Highlights
- Data-driven HR decisions: Align analytics with organizational strategy and business outcomes
- Real HR dashboards: Design practical dashboards for recruitment, performance, and attrition tracking
- Predictive people analytics: Understand models for attrition, engagement risks, and workforce trends
- Hands-on tools exposure: Excel, Power BI, HRIS datasets, and optional Python concepts
- Real case studies: Solve HR challenges using industry-relevant datasets and scenarios
- Capstone & certification: Complete a capstone project and earn a recognized HR analytics certificate
Program Modules (6-Day Coverage)
Day 1: Introduction to HR analytics
- HR analytics framework: Scope, maturity, and value chain
- Business questions: What HR analytics can solve across functions
- Data literacy: Metrics, KPIs, and stakeholder expectations
Day 2: HR data fundamentals
- HR data types: Core HR, TA, performance, engagement, payroll
- Data preparation: Cleaning, structuring, validation, and governance
- Power BI basics: Data import, modeling, relationships, and DAX intro
Day 3: Talent acquisition analytics
- Recruitment funnel metrics: Source effectiveness, conversion, TAT
- Dashboards: Time-to-hire, cost-per-hire, quality-of-hire
- Use cases: Offer declines, bottlenecks, and recruiter productivity
Day 4: Workforce planning & productivity analytics
- Headcount planning: Budget vs actuals, internal mobility, span of control
- Productivity analysis: Utilization, absenteeism, overtime, and capacity
- Scenario modeling: Hiring plans, ramp-up, and skill mix
Day 5: Performance, engagement & retention analytics
- Performance metrics: Ratings distribution, calibration, pay-for-performance
- Engagement insights: Survey analysis, drivers, and action planning
- Attrition analysis: Voluntary vs involuntary, tenure, role, manager impact
Day 6: Predictive & prescriptive HR analytics + capstone
- Attrition prediction logic: Signals, features, and thresholds (conceptual)
- Prescriptive actions: Interventions, cohorts, and impact tracking
- Capstone walkthrough: End-to-end dashboard build and presentation
- Showcase: Portfolio review, feedback, and certificate
Tools and templates you’ll use
- AI Tools, Excel Power BI &Tableau : Data prep, modeling, DAX, visuals, and publishing
- HRIS datasets: TA, performance, engagement, and attrition samples
- Templates: Metrics dictionary, data dictionary, dashboard brief, stakeholder map
Deliverables and Certification
- Certificate of completion: HR Analytics Certificate
- Capstone portfolio: Executive-ready HR dashboard and presentation
- Video Recording: Lifetime Video Recording Access
Bootcamp Investment
- Bootcamp fee: ₹5,000/- Only
- Today Offer : ₹2,500/- Only
- Limited seats—Register Now
Why this HR analytics Bootcamp
- Practical-first approach: Build dashboards and solve real HR problems—not just theory
- Business alignment: Tie metrics to outcomes—cost, productivity, retention, and experience
- Audit-ready mindset: Use clean data, clear definitions, and repeatable processes
- Instructor-led clarity: Live guidance, feedback, and real-time doubt resolution
- Immediate deployment: Templates and assets you can use from day one
Frequently asked questions
- Who should enroll?
Anyone looking to build or enhance data-driven HR decision-making skills. - Do I need prior knowledge of AI Tools, Excel, & Power BI?
No advanced knowledge is required—the bootcamp starts from fundamentals. - What tools will be used?
AI Tools, Excel, Power BI, HR datasets, and optional Python exposure. - What projects will I work on?
Recruitment dashboards, attrition analysis, performance metrics, and a final capstone project. - What outcomes can I expect?
You’ll build HR dashboards, analyze people data, and confidently apply HR analytics in real business scenarios. - Will I get templates and assets?
Yes—metrics dictionary, data dictionary, dashboard briefs, stakeholder maps, and presentation templates. - Is this suitable for corporate teams?
Yes—cohort-based delivery, custom datasets, and internal use-case alignment are available.
Bootcamp Schedule & Fee
- Start Date : Feb 2, 2026
- Duration: 6 Days- 2, 3, 4, 5 6, 7
- Time: 8 to 10 pm
- Today Offer Fee : – 2500/-
- Register Here: https://u.payu.in/PAYUMN/WIUnR2x3IpkW
Ready to become a data-driven HR professional?
Register Now : Here !

