Free 8-Hour HR Analytics Training from India’s Biggest and Most Trusted EdTech
This free 8-hour HR Analytics training is designed to empower HR professionals, business leaders, and data enthusiasts with job-ready skills in analytics. You’ll learn how to make smarter, data-driven HR decisions by mastering key concepts like basic statistics, data visualization, and predictive modeling. Through hands-on sessions using Excel and Python, you’ll gain practical experience with real-world HR use cases—from recruitment and retention to performance and workforce planning.
Training Benefits
Learn In-Demand Skills
Boost Career Opportunities
Hands-On Learning with Real Tools
Includes Certificate of Completion
Course Details
| Date | Coming Soon |
| Timing | Coming Soon |
| Mode | Online |
| Course Fee | Free |
Who is it For?
Hour-Wise Content Overview
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Session 1: Introduction to HR Analytics (1 Hour)
- What is HR Analytics? Difference between HR metrics, analytics, and strategic HRM
- Importance and impact of data-driven HR decisions
- Evolution of HR from intuition-based to evidence-based
- Real-world use cases:
- Recruitment analytics
- Attrition and retention analytics
- Performance management analytics
- Training Effectiveness
- Workforce planning
- Common challenges in HR analytics adoption
Session 2: Understanding HR Data & KPIs (1 Hour)
Types of HR data: Structured vs. unstructured
Data sources in HR: HRIS, ATS, surveys, performance management systems
Key HR metrics and KPIs:
Time to hire, cost per hire, offer acceptance rate
Attrition rate, absenteeism rate, headcount, tenure
Training ROI, performance scores, engagement scores
Understanding and defining business-relevant metrics
Hands-on: Exploring a raw HR dataset in Excel, mapping metrics to business questions
Session 3: Descriptive Analytics and Visualization (1.5 Hours)
Descriptive statistics: Mean, median, mode, standard deviation
Frequency distributions and cross-tabulations
Visualization techniques:
Bar charts, line charts, histograms, pie charts
Trend analysis, distribution plots, box plots
Creating HR dashboards in Excel using pivot tables, charts, and conditional formatting
Session 4: Data Cleaning and Preparation using Python (1 Hour)
Introduction to Jupyter Notebook and Python basics
Loading and exploring HR datasets using Pandas
Data cleaning steps:
Handling missing values
Removing duplicates
Formatting dates, standardizing text data
Feature engineering basics: Creating new columns from existing data
Hands-on: Clean and preprocess a sample HR dataset using Python
Session 5: Exploratory Data Analysis (EDA) and Insights (1 Hour)
Analyzing distributions, correlations, and outliers
Identifying patterns in attrition, performance, or tenure
Using visualizations to detect trends
Hands-on: Generate correlation matrix, heatmaps, and bar plots using Python (Matplotlib/Seaborn)
Session 6: Predictive Modeling in HR (1.5 Hours)
Introduction to predictive analytics in HR
Use cases: Attrition prediction, high-potential employee identification
Basics of classification algorithms: Logistic Regression, Decision Trees
Model evaluation techniques: Accuracy, confusion matrix, precision, recall
Hands-on: Building and evaluating a logistic regression model for predicting attrition
Session 7: Ethics, Tools, and Capstone Project (1 Hour)
Ethical considerations in HR data analysis: Privacy, bias, fairness
Overview of analytics tools used in HR:
Excel, Power BI, Tableau
Python, R
SQL for HR data extraction
Capstone Project:
Problem: ‘Analyze and predict employee attrition’
Deliverables: Dashboard, Report, Predictive Model
Group/Individual work with instructor guidance
Post-Training Resources
Sample datasets (CSV and Excel formats)
Jupyter notebooks with code templates
Excel dashboard template
Capstone project guide
List of further reading and learning paths
Frequently Asked Questions
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Who Should Take This Free HR Analytics Course?
Whether you’re just starting out or already working in the field, this free HR Analytics course is designed to help you harness the power of data to make smarter HR decisions. It’s ideal for:
🔹 Students & Career Starters – Looking to break into HR or analytics? This course gives you a strong foundation in HR analytics to help jumpstart your career.
🔹 HR Professionals – Already in HR? Build on your experience by learning how to integrate data into your decision-making and enhance your strategies.
🔹 Managers & Business Leaders – Discover how to use HR analytics to improve team performance, make informed decisions, and drive business results.
🔹 HR Analysts & Data Experts – Want to go deeper into HR data? Strengthen your analytical skills and explore real-world applications in HR.
🔹 Anyone Curious About HR Analytics – Whether you’re exploring a new career path or just want to understand how data impacts people management, this course is a great starting point.
Benefits of Pursuing a Free HR Analytics Course
Enrolling in a free HR Analytics course offers several valuable benefits, whether you’re just starting your career or looking to upgrade your skillset:
🔹 Gain In-Demand Skills – Learn essential analytics techniques like statistics, data visualization, and predictive modeling that are increasingly critical in modern HR roles.
🔹 Make Smarter HR Decisions – Use data to drive decisions in areas like hiring, retention, performance, and workforce planning—leading to more effective HR strategies.
🔹 Hands-On Learning – Apply what you learn with real-world HR scenarios using tools like Excel and Python, ensuring practical, job-ready experience.
🔹 Boost Career Growth – Enhance your resume with analytics skills that are highly sought after by employers in HR, business, and data fields.
Do I need a technical background to join this course?
Not at all! This course is beginner-friendly. We cover the basics of statistics, Excel, and Python step-by-step—no prior technical experience required.
Will I receive a certificate after completing the course?
Yes! Upon successful completion of the training, you’ll receive a certificate that you can add to your resume or LinkedIn profile to showcase your skills.
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