Welcome to the three-month certificate course on HR Analytics! In today’s data-driven world, organizations are increasingly using data and analytics to make informed business decisions, and HR is no exception. HR analytics is the application of data science and analytics techniques to HR data to improve HR processes, employee engagement, and organizational performance.
In this course, you will learn the fundamentals of HR analytics, including HR data management and analysis, recruitment analytics, employee engagement analytics, performance management analytics, and HR analytics strategy and implementation. You will gain hands-on experience with HR analytics tools and software, such as Excel, Tableau, and R, and learn how to use data visualization, statistical analysis, and predictive modeling to gain insights into HR data.
By the end of the course, you will be able to apply HR analytics techniques to real-world HR problems, such as identifying the best recruitment channels, improving employee engagement, and optimizing performance management processes. You will also learn how to communicate HR analytics insights to stakeholders and develop an HR analytics strategy for your organization.
Throughout the course, you will have the opportunity to interact with industry experts and learn from their experiences in using HR analytics to drive business results. You will also work on assignments and a final project to apply what you have learned and showcase your skills to potential employers.
Week 1-2: Introduction to HR Analytics
- Overview of HR analytics
- Benefits and challenges of HR analytics
- Key HR metrics and KPIs
- HR data sources and data quality
- HR analytics tools and software
Week 3-4: HR Data Management and Analysis
- Data collection and storage
- Data cleaning and processing
- Data visualization techniques
- Statistical analysis and predictive modeling
Week 5-6: Recruitment Analytics
- Recruitment metrics and KPIs
- Sourcing and recruiting channels
- Applicant tracking systems (ATS)
- Predictive modeling for recruitment
Week 7-8: Employee Engagement Analytics
- Employee engagement metrics and KPIs
- Employee surveys and feedback
- Sentiment analysis and natural language processing
- Predictive modeling for employee engagement
Week 9-10: Performance Management Analytics
- Performance management metrics and KPIs
- Performance appraisal systems
- 360-degree feedback
- Predictive modeling for performance management
Week 11-12: HR Analytics Strategy and Implementation
- Developing an HR analytics strategy
- Building an HR analytics team
- Communicating HR analytics insights to stakeholders
- Ethical and legal considerations in HR analytics
The course could include lectures, case studies, hands-on exercises, and guest speakers from industry experts. Students could be evaluated through assignments, quizzes, and a final project in which they apply HR analytics techniques to a real-world HR problem. By the end of the course, students should have a strong understanding of HR analytics and be able to use data and analytics to make data-driven HR decisions.