Advanced Certification Program in HR Analytics

About Course
Course Structure
Total Duration: 4 Months
Mode: Live Online Classes
Schedule: Tuesday, Thursday & Saturday
Placement Guarantee: 100% Job Placement
Program Overview
The Advanced Certification in HR Analytics is a comprehensive and industry-aligned program designed to equip HR professionals with advanced analytics skills. This 4-month program consists of 3 months of intensive training covering HR data analysis, visualization, and predictive modeling, followed by 1 month of placement guarantee that includes soft skills training, mock interviews, placement drives, and employer networking.
HR professionals will gain hands-on expertise in SQL, Python, Excel, Tableau, Power BI, and Machine Learning to optimize HR functions like talent acquisition, employee engagement, workforce planning, and compensation analytics.
Key Highlights of the Program
✔ 3 Months of rigorous HR Analytics training with real-world datasets
✔ 1 Month of structured placement guarantee
✔ Hands-on learning with SQL, Python, Excel, Tableau & Power BI
✔ Mentorship from industry experts & HR analytics professionals
✔ Real-world HR analytics projects & case studies
✔ 100% Job Placement Guarantee
Career Opportunities After This Course
After completing this program, participants will be qualified for various roles in HR Analytics and Data-driven HR decision-making. Some of the potential job roles include:
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HR Analyst – Analyze workforce trends and employee data to optimize HR strategies.
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HR Data Scientist – Use advanced analytics and machine learning for predictive HR solutions.
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Talent Analytics Specialist – Leverage data to improve recruitment and workforce planning.
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Compensation & Benefits Analyst – Analyze pay structures, benefits, and workforce budgeting.
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Employee Engagement Analyst – Measure employee sentiment and implement retention strategies.
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Workforce Planning Manager – Forecast hiring needs and optimize workforce allocation.
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Learning & Development Analyst – Assess training effectiveness and optimize learning programs.
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HR Business Partner (Analytics Focused) – Drive strategic HR initiatives using data-driven insights.
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DEI (Diversity, Equity & Inclusion) Analyst – Track and enhance workplace diversity metrics.
Frequently Asked Questions (FAQs)
Q. Who is this program for?
A. This program is ideal for HR professionals, aspiring HR analysts, MBA graduates, and business leaders who want to develop data-driven decision-making skills in HR.
Q. What are the prerequisites for enrollment?
A. No prior analytics experience is required. Basic knowledge of HR concepts is beneficial, but the program starts with foundational training to bring all learners up to speed.
Q. What tools will I learn in this course?
A. You will gain proficiency in SQL, Python, Excel, Tableau, Power BI, and machine learning techniques tailored for HR analytics.
Q. How does the Placement Guarantee work?
A. Our dedicated placement team will provide resume building, mock interviews, and employer connections. We ensure job placement upon successful course completion.
Q. What kind of projects will I work on?
A. You’ll work on real-world HR analytics challenges, including attrition prediction, recruitment optimization, compensation benchmarking, and workforce planning dashboards.
Q. Is the course online or in-person?
A. The program is completely online with live instructor-led sessions, ensuring an interactive and immersive learning experience.
Q. What is the expected salary after completing this program?
A. Salaries vary based on location, experience, and role, but HR Analytics professionals typically earn between ₹6L – ₹15L per annum, with growth potential over time.
Q. Will I get a certification after completion?
A. Yes! You will receive an industry-recognized Advanced Certification in HR Analytics from KAE Education upon successful completion of the program.
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Course Content
Module 1: Introduction to HR Analytics
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Importance of HR analytics in modern organizations
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Key HR metrics and their strategic applications
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Data governance and compliance in HR