About Course
Course Overview
HR Data Analytics introduces learners to the fundamentals of working with HR data like how to collect, clean, interpret, and translate people‑related data into meaningful insights. The course builds data literacy for HR professionals and sets the foundation for all specialised HR analytics domains (TA, performance, retention, compensation, etc.).
Course Outcomes
By the end of this course, learners will be able to:
- Understand key HR data types, sources, and structures
- Apply basic data cleaning and preparation techniques
- Use descriptive analytics to interpret HR metrics and trends
- Build and analyse simple HR datasets using spreadsheets or BI tools
- Identify the right HR KPIs for different HR functions
- Communicate insights using clear, evidence‑based narratives
- Understand the ethical and privacy considerations in HR data handling
Target Audience
- Students or professionals entering HR analytics for the first time
- Early‑career HR analysts
- HR professionals transitioning into data‑driven roles
- Talent Acquisition, HRBP, and HR Operations teams
- Anyone who wants to build foundational HR data skills before moving into advanced analytics or AI in HR
Level
Beginner, No prior analytics experience required. Designed to build confidence from the ground up.
Pre‑Requisites
- Basic computer literacy (Excel/Sheets familiarity is helpful but not mandatory)
- General understanding of HR processes (recruitment, performance, payroll, etc.)
- Curiosity about data and problem‑solving
What you should be able to do after completing this course
Learners will be able to:
- Work with HR datasets confidently
- Calculate and interpret foundational HR metrics (e.g., turnover rate, time‑to‑fill, absenteeism rate)
- Clean and prepare raw HR data for analysis
- Build simple dashboards or reports using Excel/Sheets or BI tools
- Identify data quality issues and apply basic data governance principles
- Support HR decision‑making with evidence rather than intuition
- Progress into specialised analytics courses (TA, performance, retention, compensation, AI in HR) with a strong foundation
Course Content
Module 1: Foundations of HR Data Analytics
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Lesson 1.1: Introduction to HR Data Analytics
01:13 -
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Lesson 1.3: Key HR Metrics & KPIs
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Lesson 1.4: Ethical & Privacy Considerations in HR Data
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Lesson 5.2: Final Quiz
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quiz 1
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