Post Graduate Program in HR Analytics

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About Course

Duration: 10 Months (Live Online Course)
Mode: Live Online Classes (Weekday-focused: Monday, Wednesday & Friday)
Guarantee: 100% Job Guarantee Program

 

 

Master HR Decision-Making with the Post Graduate Program in HR Analytics

 

The Post Graduate Program in HR Analytics is an intensive, Industry-aligned course designed to empower HR professionals with Advanced Data analytics and decision-making skills. This program focuses on real-world HR challenges, equipping participants with the tools and techniques required to make data-driven decisions that drive organizational success. Participants will gain hands-on experience with analytics tools and frameworks widely used in the corporate world, ensuring they are Industry-ready.

 

Why Choose the Post Graduate Program in HR Analytics?

 

This program offers an immersive learning experience, combining theoretical insights with hands-on application. Participants will master tools like Python, SQL, Tableau, and Power BI, along with advanced techniques like Machine Learning and NLP for workforce optimization.

 

Key Highlights:

 

(1) 100% Job Guarantee: Secure your career in HR Analytics with personalized placement support.

 

(2) Diverse Industry Applications: Applicable to sectors like IT, BFSI, Retail, Manufacturing, and Startups.

 

(3) Expert-Led Sessions: Learn from Industry veterans through live, interactive classes and one-on-one mentorship.

 

(4) Real-World Case Studies: Hands-on projects based on corporate HR challenges to ensure practical learning.

 

(5) Comprehensive Tool Coverage: Gain expertise in tools like SPSS, Google Data Studio, and more.

 

What Will You Learn?

 

This program enables you to:

 

(1) Build HR dashboards for actionable insights and strategic decision-making.

 

(2) Solve real-world challenges in recruitment, retention, and employee engagement using data-driven approaches.

 

(3) Develop predictive models for attrition management and talent acquisition.

 

(4) Leverage NLP to analyze employee sentiment for better engagement strategies.

 

(5) Master tools and frameworks like SQL, Python, Tableau, Power BI, and SPSS to drive HR efficiency.

 

What is the HR Analyst Career Path? - HR University

Hands-On Technical Learning:

 

Participants will work extensively with:

 

  • Advanced Excel: Analyze HR data for trend forecasting.
  • SQL: Streamline data management and perform complex queries.
  • Tableau & Power BI: Create visual dashboards that offer deep workforce insights.
  • Python & R: Perform statistical analysis and predictive modeling.
  • Google Sheets & Data Studio: Collaborate on analytics projects with ease.
  • SPSS: Uncover statistical trends in HR data.
  • Machine Learning Basics: Build predictive models for attrition and recruitment forecasting.
  • NLP: Evaluate employee feedback and sentiment to design better HR strategies.

 

Learning Outcomes:

 

By completing this program, you will be able to:

 

  • Build and interpret dynamic HR dashboards for strategic decisions.
  • Use data-driven methods to tackle recruitment, retention, and engagement challenges.
  • Develop predictive models to optimize workforce operations.
  • Gain the expertise to thrive in HR Analytics roles with guaranteed placement support.

 

Frequently Asked Questions (FAQs)

 

 Q. Who is this program for?

 

Ans. This program is ideal for HR professionals, aspiring analysts, and individuals looking to transition into HR Analytics roles.

 

Q. What are the prerequisites for enrollment?

 

Ans. Basic knowledge of HR processes is helpful but not mandatory. The course starts with foundational concepts to bring everyone up to speed.

 

Q. How does the Job Guarantee work?

 

Ans. Our placement team works closely with participants, offering interview preparation, resume building, and guaranteed job placement upon successful course completion.

 

Q. What tools will I learn in this program?

 

Ans. You will master SQL, Python, R, Tableau, Power BI, SPSS, NLP, and Machine Learning Basics for HR analytics.

 

Q. What kind of projects will I work on?

 

Ans. You’ll work on real-world HR challenges, such as designing predictive models for attrition and building dashboards for employee engagement.

 

Ready to Transform Your Career in HR Analytics?

 

Join the Post Graduate Program in HR Analytics to gain the skills, tools, and confidence to excel in this high-demand field. Enroll today and unlock your potential!

 

HR Analytics related Blog are here! Get click the link & know about everything.

 

 

Sample Certificate

Sample Certificate of Post Graduate Program in HR Analytics

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What Will You Learn?

  • Master advanced HR analytics tools like Excel, SQL, Tableau, Power BI, Python, and R.
  • Build data-driven strategies for recruitment, retention, and performance management.
  • Create predictive models to forecast workforce trends and resolve HR challenges.
  • Design and interpret dashboards for actionable insights across HR functions.
  • Conduct sentiment analysis to measure employee engagement and satisfaction.
  • Optimize compensation structures and analyze pay parity effectively.
  • Implement DEI initiatives with data-backed strategies and metrics.
  • Measure the ROI of learning, development, and employee wellness programs.
  • Develop expertise in data visualization and storytelling for HR decision-making.
  • Gain placement assistance and industry readiness with guaranteed job support.

Course Content

Module 1: Introduction to HR Analytics and Data-Driven Decision Making

  • 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.

Module 2: Data Analytics Essentials for HR Professionals

Module 3: Recruitment and Workforce Planning Analytics

Module 4: Performance, Productivity, and Workforce Efficiency

Module 5: Engagement and Retention Analytics

Module 6: Compensation, Benefits, and Workforce Budgeting

Module 7: Learning, Development, and Succession Planning Analytics

Module 8: Diversity, Equity, and Inclusion (DEI) Analytics

Module 9: Capstone Project and Career Preparation

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