HR Analytics Professional- CPHRA
The Certificate Professional in HR Analytics program is a comprehensive and highly valuable training course for HR professionals seeking to develop and hone their analytical skills. As organizations increasingly rely on data-driven decision-making, the ability to leverage HR analytics has become a critical competency for HR practitioners at all levels. This 5-day program is designed to equip participants with the knowledge and practical experience needed to harness the power of data and analytics in driving HR strategy, optimizing HR processes, and contributing to overall organizational success.
Program Overview:
In today’s fast-paced business environment, HR functions must evolve to meet the demands of data-centric decision-making. The HR Analytics program offers HR professionals a deep dive into how data can be used to improve key HR functions, including recruitment, talent management, employee performance, compensation, and engagement. Participants will not only gain insights into the foundational aspects of HR analytics, but they will also explore advanced tools, techniques, and methods that enable them to analyze, interpret, and visualize HR data effectively.
The structured, hands-on approach ensures that learners are equipped with practical, real-world skills. Through interactive workshops, case studies, and a capstone project, participants will gain direct experience using HR analytics tools to solve actual HR challenges. The program goes beyond theoretical knowledge, empowering participants to immediately apply what they’ve learned to enhance HR practices and improve business outcomes.
Key Learning Areas:
- Understanding HR Analytics: Explore the foundations of HR analytics, including the types of data available, key HR metrics, and how they align with business goals.
- Data Tools & Techniques: Learn how to use cutting-edge tools for data analysis and visualization, and develop the ability to extract meaningful insights from complex HR data.
- Predictive Analytics: Gain the skills to forecast HR trends such as employee turnover, performance, and engagement levels, enabling proactive decision-making.
- Data-Driven Decision Making: Master the art of turning data into actionable insights that improve HR practices and drive organizational performance.
- HR Process Optimization: Learn how to use analytics to streamline processes like recruitment, performance management, learning & development, and employee retention.
- Creating Dashboards & Reports: Develop proficiency in building user-friendly dashboards and reports that clearly communicate key HR metrics to senior leaders and stakeholders.
- Ethics & Compliance: Understand the ethical considerations of HR data collection, ensuring privacy, fairness, and compliance with regulations.
Who Should Attend:
- HR Leaders & Managers: Looking to leverage data for strategic HR decisions.
- HR Business Partners: Wanting to use analytics to influence talent management.
- HR Analysts & Data Professionals: Seeking advanced skills in HR data interpretation.
- Talent Acquisition & Retention Specialists: Interested in improving recruitment and engagement with data.
- L&D & OD Professionals: Focused on evaluating training and performance outcomes.
- Business Executives: Aiming to align HR practices with organizational goals through data insights.
Key Takeaways:
- HR Analytics Fundamentals: Understand core HR metrics and data sources.
- Advanced Analytics Tools: Use data tools to analyze and visualize HR data.
- Data-Driven Decision Making: Apply analytics for recruitment, performance, and retention strategies.
- Practical Experience: Hands-on workshops and a capstone project for real-world application.
- Metrics & Dashboards: Learn to design and evaluate impactful HR metrics.
- Ethical Data Use: Ensure privacy and compliance in HR analytics.
- Continuous Improvement: Use data insights to optimize HR processes and drive ongoing improvements.
- $ .4200
- Duration: 5 days, 0900-1400 hours (total 25 hours)
- Language:English
- Location: Dubai, UAE
Buy Now
Course Information
Course Instructor
