Data Analytics for HR 2

This program introduces participants to key statistical and machine learning techniques used in HR analytics. It covers regression analysis, supervised learning, logistic regression, and clustering methods such as K-Means. Participants will gain hands-on experience interpreting models and visualizing data using tools like Orange, enabling data-driven decision-making in HR processes

After completion of this program, participants will be better able to:

• Understand regression techniques (linear, multiple) and their assumptions in HR analytics.
• Learn logistic regression and its applications in predictive modeling.
• Explore clustering techniques, including K-Means, to segment and analyze HR data.
• Develop skills in visualizing and interpreting statistical models for HR insights.
• Apply machine learning techniques to enhance workforce analytics and decision-making.