Human Resource Management And Analytics

Curriculum

The Course Curriculam

Week 1: Introduction to HRM

Role and importance of HR in organizations.
Key HR functions: Recruitment, training, performance management, and employee relations
Strategic HRM and aligning HR goals with business objectives.
Hands-on Practice: Develop an HR strategy for a hypothetical organization.

Week 2: Talent Acquisition and Workforce Planning

Week 3: Employee Engagement and Performance Management

Week 4: Learning and Development (L&D)

Week 5: Introduction to HR Analytics

Week 6: Workforce Analytics

Week 7: Compensation and Benefits Analytics

Week 8: Final Project and Advanced Topics

₹1000

Course Information

Instructor: vedupskilling@gmail.com
Lesson: 32
Duration: 40h
Quizze: 0

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Human Resource Management And Analytics

The Course Curriculam

Week 1: Introduction to HRM

Role and importance of HR in organizations.

Key HR functions: Recruitment, training, performance management, and employee relations

Strategic HRM and aligning HR goals with business objectives.

Hands-on Practice: Develop an HR strategy for a hypothetical organization.

Week 2: Talent Acquisition and Workforce Planning

Recruitment strategies: Traditional and digital approaches.

Selection processes: Behavioral interviews, psychometric testing, and assessments.

Workforce planning: Forecasting demand and supply of talent.

Hands-on Practice: Create a job description and recruitment plan for a role.

Week 3: Employee Engagement and Performance Management

Building employee engagement through communication and recognition.

Performance appraisal methods: 360-degree feedback and KPIs.

Managing underperformance and developing improvement plans.

Hands-on Practice: Design a performance review framework.

Week 4: Learning and Development (L&D)

Identifying training needs and setting L&D objectives

Designing effective training programs: Methods and tools.

Evaluating the ROI of training initiatives.

Hands-on Practice: Develop a training plan for a specific skill gap.

Week 5: Introduction to HR Analytics

Overview of HR analytics: Benefits and use cases.

Data collection in HR: Key metrics and data sources.

Tools for HR analytics: Excel, Tableau, and HRMS platforms.

Hands-on Practice: Explore HR dashboards and analyze sample data.

Week 6: Workforce Analytics

Measuring workforce productivity and engagement.

Predictive analytics in talent acquisition and retention

Attrition analysis: Identifying patterns and root causes

Hands-on Practice: Perform attrition analysis using Excel or a similar tool.

Week 7: Compensation and Benefits Analytics

Designing competitive compensation structures using data.

Pay equity analysis: Ensuring fairness and compliance.

Benefits optimization through usage analysis.

Hands-on Practice: Analyze a compensation dataset and suggest adjustments.

Week 8: Final Project and Advanced Topics

Final Project: Develop an HR analytics report addressing a business challenge (e.g., attrition, performance improvement).

Advanced topics: AI in HR, sentiment analysis in employee surveys, and HR technology trends.

Ethical considerations in using employee data for analytics.

Presentation and feedback session.