Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors

HR Data Analytics

Wishlist Share

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
Show More

Course Content

Module 1: Foundations of HR Data Analytics

  • Lesson 1.1: Introduction to HR Data Analytics
    01:13
  • Lesson 1.3: Key HR Metrics & KPIs
  • Lesson 1.4: Ethical & Privacy Considerations in HR Data
  • Lesson 5.2: Final Quiz
  • quiz 1

Earn a certificate

Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

selected template

Student Ratings & Reviews

No Review Yet
No Review Yet

Want to receive push notifications for all major on-site activities?