Advanced Certification in HR Analytics & GenAI (Hybrid Mode)
Key Points
Training & Certification Process
Step 01Enroll in Course
Step 02Get Login Credentials via Email
Step 03
Learn with Pre Recorded Live Classes
Step 04Note Your Doubts
Step 05
Clear Doubts in Live Zoom Class
(12–4 PM) Every Sunday
Step 06
Complete the Course
Step 07Appear for Assessment
Step 08Earn Industry Certification
Step 09
Join Soft Skills, Resume Review & Job Referral Live Sessions
(Every Sunday 4–6 PM)
How Different Sectors are Using HR Analytics
Why Choose This Program?
Course Modules
Importance of HR analytics in modern organizations
Key HR metrics and their strategic applications
Data governance and compliance in HR
HR dashboards in Excel – quick data visualization
Advanced formulas for HR (VLOOKUP, INDEX-MATCH, IF, COUNTIFS, TEXT formulas)
Pivot Tables for HR reports (attrition, hiring, attendance analysis)
What-if analysis: Workforce planning scenarios
Case Study: Analyzing attrition trends with Excel
Basics of Databases and SQL queries
HR-focused SQL queries:
Employee demographics
Attrition & retention data
Salary & payroll analysis
Joins & aggregations on HR datasets
Mini Project: Build an attrition dataset query
Python basics (Pandas, NumPy, Matplotlib/Seaborn)
Cleaning messy HR data (missing values, duplicates, categorical data)
Exploratory Data Analysis (EDA) on HR data
Predictive analytics: Attrition prediction model
Case Study: Identifying top factors influencing employee turnover
Introduction to Power BI interface
Data import (Excel, SQL, CSV, HRIS exports)
Creating visual dashboards:
Recruitment funnel dashboard
Attrition & retention dashboard
Diversity & inclusion dashboard
Publishing HR dashboards for decision makers
Introduction to Generative AI for HR
Using AI for resume screening & candidate shortlisting
Creating HR reports using AI assistants (ChatGPT, Copilot, etc.)
Predictive insights with GenAI: “What if” workforce scenarios
Case Study: AI-driven engagement survey analysis
Effective communication & storytelling with data
Presentation skills for HR reports
Negotiation & influencing stakeholders
Building executive presence as an HR Analyst
Case Study: Presenting attrition insights to leadership
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.
Sample Certificate
Sample Class
Module 4 (Topic 1): Python for HR Analytics
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, and GenAI tools like ChatGPT, Gemini, Bard 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 guidance including resume building, mock interviews, LinkedIn optimization, and job referrals in soft skills module.
If you're not satisfied with the course content within 7 days of enrollment, we'll provide a full refund - no questions asked. Refund Policy
No conditions. We believe in our course quality and want you to enroll with complete confidence.
Media Recognition
