Advanced Certification in HR Analytics
& GenAI

  • 04 Months Program
  • IBM Accredited
  • 100% Placement Assistance
  • Live Online Classes
Advanced Certificate in HR Analytics & GenAI

Our Hiring Partners

Fill your details to know more.

What is HR Analytics & Its Key Features

HR analytics—also known as people analytics or workforce analytics—is the process of collecting, analyzing, and interpreting data related to an organization’s human resources to drive better decision-making and improve both workforce and business outcomes. This approach transforms raw HR data into actionable insights, enabling organizations to understand workforce dynamics, optimize HR practices, and align talent strategies with broader business objectives.

HR analytics replaces intuition with evidence-based insights, allowing HR professionals and leaders to make informed decisions about hiring, retention, performance management, and more.

It evaluates how HR metrics—such as time to hire, retention rates, and employee engagement—affect overall business performance and strategic outcomes.

By identifying trends and patterns, HR analytics helps organizations improve productivity, reduce turnover, and plan more effectively for the future.

HR analytics elevates HR from an operational function to a strategic partner by quantifying the value HR initiatives bring to business goals.

How Different Sectors are Using HR Analytics

IT & Tech Companies

🟣 Skill Gap Analysis
🟣 Employee Productivity Tracking
🟣 Tech Talent Retention & Hiring Forecast

BFSI (Banking, Financial Services & Insurance)

🟣 Workforce Risk Management
🟣 Succession Planning
🟣 Predictive Hiring for High-Value Roles

Retail & E-Commerce

🟣 Shift Scheduling Optimization
🟣 Store-Level Workforce Planning
🟣 Sales & Incentive-linked HR Metrics

Healthcare & Pharmaceuticals

🟣 Nurse & Staff Turnover Analytics
🟣 Performance vs. Patient Outcome Mapping
🟣 Training Needs Identification

Manufacturing & Logistics

🟣 Blue-collar Workforce Planning
🟣 Safety & Compliance Behavior Tracking
🟣 Absenteeism Pattern Prediction

Consulting & HR Firms

🟣 Employee Engagement Scorecards
🟣 Industry Benchmarking Analytics
🟣 Cost-to-Hire Optimization

Who Should Join?

HR professionals and experienced recruiters

Business analysts entering HR analytics field

MBA, BBA, or BA graduates with HR focus

Working professionals from any industry domain

Fresh graduates building HR analytics careers

L&D specialists seeking data-driven strategies

Tools You Will Master

Job Roles and Responsibilities

Analyzes employee data, turnover trends, and HR metrics to improve organizational policies, workforce productivity, and retention strategies.

Applies statistical methods and AI tools to derive insights from employee behavior, performance, and engagement across the organization.

Improves hiring funnels by analyzing sourcing channels, interview-to-offer ratios, and recruiter performance to reduce hiring costs and boost talent quality.

Collaborates with business and HR teams to predict future talent needs, plan headcount budgets, and align manpower with business growth targets.

Advises business leaders using insights from HR data—driving performance reviews, compensation cycles, and people strategies aligned with team goals.

Implements GenAI tools like ChatGPT to automate HR workflows, generate reports, draft HR policies, and streamline tasks like onboarding and compliance.

Course Modules

  • Importance of HR Analytics in transforming organizations

  • Key HR metrics and their strategic importance

  • Challenges and opportunities in implementing HR Analytics

  • Basics of data governance and compliance

  • Data collection, cleaning, and preparation techniques

  • Exploratory data analysis and visualization

  • Statistical methods: Descriptive and inferential statistics

  • Introduction to SQL for data querying and management

  • Advanced Excel techniques for HR analytics

  • Data-driven workforce planning

  • Analyzing recruitment efficiency and effectiveness

  • Predictive modeling for hiring trends and talent acquisition

  • Dashboard creation for recruitment metrics (Power BI)

  • Designing performance tracking systems using data

  • Metrics for productivity analysis and optimization

  • Workforce efficiency modeling and forecasting

  • Case study: Analyzing performance metrics for a large corporate

  • Measuring employee satisfaction and engagement

  • Predictive analytics for attrition and retention strategies

  • Employee feedback analysis using sentiment analysis techniques

  • Practical project: Developing retention dashboards

  • Pay structure analysis and optimization

  • Workforce cost management and ROI calculations

  • Advanced analytics for pay parity and benchmarking

  • Practical training: Automating compensation analysis using Python

  • Skill gap analysis and predictive L&D needs assessment

  • Measuring ROI of training programs

  • Succession planning using analytics

  • Real-world application: L&D budget optimization dashboard

  • Metrics to measure and improve workplace diversity

  • Designing data-driven inclusion strategies

  • Tracking and reporting DEI performance

  • Case study: Developing DEI dashboards for organizational analysis

  • Introduction to Generative AI and its impact on HR

  • Using ChatGPT, Copilot & Bard for HR documentation & insights

  • Automating HR reports, emails, and policy drafts using GenAI

  • Creating prompt libraries for HR use cases (recruitment, L&D, etc.)

  • AI-driven candidate screening and resume summarization

  • Integrating GenAI with ATS, HRMS, and analytics dashboards

  • Ethical use of AI in people analytics and decision-making

  • Project: Automate an end-to-end HR report using GenAI tools

  • Real-world capstone project on HR Analytics

  • Hands-on application of SQL, Python, Tableau, and other tools

  • Resume building and LinkedIn profile optimization

  • Mock interviews and career counseling sessions

Sample Certificate

Live Class Videos

Our Experienced Subject Matter Experts

Ms. Vasuki

Mr. Aman Raj Das
Mr. Bertram
Mr. Ibrar
Mr. Rahul Sain
Ms. Deeksha

Frequently Asked Questions

This course is ideal for HR professionals, recruiters, L&D specialists, MBA graduates, and even freshers or career switchers looking to build a career in HR Analytics.

Not at all. We start from the basics of tools like Python, Excel, SQL, and Power BI. No prior coding or technical knowledge is required.

You’ll gain hands-on expertise in Excel, SQL, Power BI, Python, Tableau, and GenAI tools like ChatGPT and Microsoft Copilot.

Unlike traditional HR courses, this program is analytics- and AI-focused, designed to build data-driven HR decision-making skills.

Yes. We provide complete placement assistance including resume building, mock interviews, LinkedIn optimization, and job referrals.

You should dedicate around 6–8 hours per week, including live classes (3 days a week), assignments, and self-practice.

Next batch Starting
10th July, 2025

Tuesday, Thursday & Saturday
8pm to 10pm
03 Days Per Week

Our Happy Students

Suraj Prakash

Coming from a non-technical background, I was nervous at first. But the trainers made everything so simple. Excel, SQL, and Power BI sessions were very hands-on. I now work as an HR Analyst in a fintech company.

Priya Bharti

This course helped me transition from traditional HR tasks to a data-driven mindset. The live projects and dashboards gave me real exposure. I got placed within two months of completing the program. Totally worth it!

Hari Krishnan

The recruitment analytics module was a game changer for me. I now use data for every hiring decision. I’ve even automated my reports using Power BI thanks to this course. Great for working professionals!

Sitesh Kumar

I always struggled to prove training ROI in my previous role. After this course, I created an L&D dashboard that my leadership team loved. Also, the GenAI sessions were very practical and futuristic.

Rohit Kumar

As a fresher, I was unsure about job prospects. This course not only gave me the right skills but also helped me build a great resume and LinkedIn profile. Got placed as a People Analyst recently!

Namratha

The DEI module was my favorite. I was able to build an inclusion dashboard for my current organization. It’s rare to find such relevant HR analytics content in one place. Big thanks to the mentors!

Sarojini K

I had no idea HR could be so data-driven. The combination of HR domain knowledge and tools like Python and GenAI gave me a huge edge. The placement support team was slow post course.

Course Fee: Rs.75,000/-

After 40% Discount: Rs.45,000/-

 
Note: 40% Discount for First 10 Enrollments Only.
Enroll Now!

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