Mastering HR People Analytics & HR Predictive Analytics 2.0

  • 4.1
  • (66+ reviews)

Description

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 !

Course Info

Created by Dr. José Prabhu J
2 hours on-demand video
10 lectures
5,300+ students enrolled
4.1 rating from 66+ reviews
English language
Created on July 21, 2024
Category: Business
Subcategory: Management

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