
Explore how HR people analytics uses data to optimize recruitment, engagement, retention, performance, and workforce planning, while advancing descriptive, predictive, and prescriptive analytics and addressing privacy and fairness.
Explore data collection and management in HR by leveraging internal and external sources, ensuring data quality, secure storage, and robust preparation for predictive analytics.
Explore key metrics and performance indicators in HR analytics and predictive analytics, including employee performance metrics, performance appraisal systems, KPIs, benchmarking, engagement and turnover metrics.
Explore advanced analytics tools and techniques in people analytics to forecast turnover, optimize recruitment, and boost organizational performance through data visualization and predictive modeling.
Explore how predictive analytics in HR drives talent management through data-driven forecasting of talent needs, high-potential identification, succession planning, employee performance prediction, and retention strategies using machine learning.
Explore how machine learning transforms workforce planning, covering supervised, unsupervised, and reinforcement learning, predictive analytics, and real-time HR system integration for smarter talent decisions.
Explore practical exercises in people analytics and predictive analytics through real-world case studies, hands-on data analysis, dashboards, and stakeholder presentations to drive data-driven HR decisions.
Drive HR analytics adoption through a clear vision, leadership engagement, and a structured change plan with training and transparent communication to overcome resistance and integrate analytics with existing processes.
harness HR analytics and predictive analytics to drive evidence-based HR decisions, optimize recruitment and retention, enhance performance management, and align analytics with business goals.
Discover how artificial intelligence, automation, blockchain, augmented analytics, wearables, real-time data, data security, and ethical AI shape future trends in HR people analytics and predictive analytics.
The HR People Analytics & HR Predictive Analytics 2.0 course offers a comprehensive exploration of advanced analytical techniques tailored for human resources professionals. This course delves into the core principles of people analytics, emphasizing data-driven decision-making, performance metrics, and ethical considerations. Participants will gain hands-on experience in data collection, management, and analysis using cutting-edge tools and methodologies. Through practical exercises and case studies, learners will enhance their ability to apply analytics for improving HR processes, talent management, and organizational performance.
In addition to foundational analytics skills, the course provides an in-depth understanding of HR predictive analytics. Participants will learn to utilize machine learning algorithms and predictive modeling to forecast workforce needs, predict employee performance, and manage retention strategies. The course also covers the integration of analytics into HR practices, strategic decision-making, and the latest trends in technology. By the end of the course, learners will be equipped to drive data-informed HR strategies and contribute to a more effective and agile HR function.
In this master course, I would like to teach 10 major topics:
Module 1: Introduction to HR People Analytics
Module 2: Data Collection and Management
Module 3: Key Metrics and Performance Indicators
Module 4: Advanced Analytics Tools and Techniques
Module 5: Applying Predictive Analytics in HR
Module 6: Machine Learning in Workforce Planning
Module 7: Practical Exercises in People Analytics
Module 8:Change Management and Implementation
Module 9:Strategic Use of Analytics in HR Decision-Making
Module 10:Future Trends and Emerging Technologies
More topics will update soon !
Enroll now and learn today !