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Verified Certification 4.8 (1.2k ratings)
AI for HR Analytics
Human resource management is becoming increasingly data-driven. In this program, you will learn how to collect and analyse HR data to understand employee performance, recruitment effectiveness, and wo...
Instructor: Pius Iruolagbe
English
Beginner Friendly
Duration
Instructor-Led
Lectures
0 Modules
Level
All Levels
Course Description
Human resource management is becoming increasingly data-driven. In this program, you will learn how to collect and analyse HR data to understand employee performance, recruitment effectiveness, and workforce trends. You will explore how AI-powered tools help organisations make better hiring decisions, improve employee retention, and optimise talent management strategies.
Prerequisites
No specific prerequisites. Just a passion to learn!
Course Curriculum
W1
HR Analytics & Generative AI Foundations
What data is in an HR context, Types of HR data:, Employee records, Recruitment data, Performance and engagement data, Big Data concepts and the 5Vs, applied to HR, Difference between:, Data Analysis, Data Analytics, HR Analytics, Career paths in HR Analytics and where the role fits in organisations, Introduction to Generative AI for HR analytics:, LLMs, RAG, AI agents, Responsible and ethical use of AI in HR decisions, Prompt engineering basics for HR workflows
W2
Excel, Copilot & HR Data Analysis
Excel interface and HR-focused datasets, Cell referencing (relative, absolute, structured), AI-assisted HR data cleaning in Excel, Key Excel functions for HR analytics:, IF, LOOKUP, COUNTIF, SUMIF, Attrition and headcount analysis, Pivot tables and HR dashboards, Turning HR data into management insights, Storytelling for HR and leadership decisions
W3
Power BI, Copilot & HR Dashboards
Why Power BI is critical for HR analytics, Power BI workflow and architecture, HR data connectors and models, Power Query for HR data transformation, Basic DAX for HR metrics, Using Copilot to generate HR dashboards, Translating HR insights into executive recommendations
