Diploma in Human Resource Analytics

Syllabus

Week 1-2: Introduction to HR Analytics

Introduction to HR Analytics
- Understanding HR analytics and its importance
- Role of data in HR decision-making
Fundamentals of HR Metrics and KPIs
- Key HR metrics and Key Performance Indicators (KPIs)
- Aligning HR metrics with business strategy

Week 3-4: Data Management and HR Analytics Tools

Data Management in HR
- Data collection methods in HR
- Data cleaning and preprocessing
HR Analytics Tools and Software
- Overview of popular HR analytics tools (e.g., Excel, R, Python, Power BI)

Week 5-6: Descriptive Analytics in HR

Descriptive Analytics Techniques
- Summarizing and visualizing HR data
- Use of dashboards and reports for HR insights
Practical Applications
- Case studies on workforce demographics, turnover rates, and employee satisfaction

Week 7-8: Predictive Analytics in HR

Predictive Analytics Techniques
- Introduction to predictive modeling in HR
- Building predictive models using R or Python
Practical Applications
- Attrition prediction models
- Recruitment analytics

Week 9-10: Performance Analytics

Employee Performance Metrics
- Identifying and measuring performance metrics
- Linking performance metrics to business outcomes
Case Studies and Applications
- Performance appraisal management
- Predictive models for performance improvement

Week 11-12: Talent Management Analytics

Talent Acquisition Analytics
- Analyzing recruitment processes and outcomes
- Optimizing talent acquisition strategies using data
Employee Engagement Analytics
- Measuring and analyzing employee engagement
- Using analytics to improve engagement and retention

Week 13-14: Advanced HR Analytics Techniques

Advanced Statistical Techniques
- Regression analysis, clustering, and classification
- Social Network Analysis (SNA) in HR
Machine Learning in HR
- Introduction to machine learning algorithms for HR analytics
- Practical applications in HR

Week 15-16: Strategic HR Analytics

Aligning HR Analytics with Business Strategy
- Strategic workforce planning using analytics
- Scenario planning and forecasting
Practical Applications
- Linking HR analytics to business performance metrics

Week 17-18: Legal and Ethical Considerations

Ethical Use of HR Data
- Privacy concerns and ethical guidelines
- Legal considerations in HR analytics
Case Studies
- Real-world examples of ethical dilemmas in HR analytics

Week 19-20: Communicating HR Insights

Effective Data Visualization
- Techniques for visualizing HR data effectively
- Tools for creating impactful visualizations
Presenting HR Insights
- Best practices for communicating findings to stakeholders
- Storytelling with data

Week 21-22: Capstone Project Preparation

Project Planning
- Identifying a real-world HR problem
- Planning the analytics approach
Data Collection and Preparation
- Collecting and preprocessing data for the project

Week 23-24: Capstone Project Execution and Presentation

Project Execution
- Applying analytics techniques to solve the HR problem
- Analyzing and interpreting results
Project Presentation
- Preparing a final report and presentation
- Presenting findings to the class and receiving feedback

Course Details:

Transform your HR strategies using data analytics. Learn how to collect, analyze, and leverage workforce data to enhance organizational performance.

Lesson Duration

24 Weeks

Class Hours

8 Hours per Week

Certifications

Physical

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