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HR Analytics Course
New
Created byKeka Academy
Last updated 5/2026
English

What you'll learn

  • Apply the DIKW Framework and 4 types of HR analytics to make data-driven people decisions
  • Build HR metrics using the POISE Framework and link them directly to business outcomes
  • Clean, organise, and analyse HR data using Excel, Google Sheets, VLOOKUP, and Pivot Tables
  • Create live HR dashboards in Looker Studio and interpret data using Tableau and Power BI
  • Use ChatGPT and Google Gemini to generate HR insights, forecasts, and benchmarking reports
  • Build predictive attrition models and Early Warning Systems using HR data
  • Design compelling data visualizations using the right chart for every HR story
  • Present HR data stories to leadership using the ABCD Model and data storytelling framework

Course content

8 sections • 27 lectures • 2h 59m total length

  • Introduction4:17
  • HR Analytics: Foundations & Fundamentals4:50
  • The DIKW Framework in Analytics3:03
  • Foundations of HR Analytics: Persona, Purpose, and Horizon5:16
  • Four Types of HR Analytics: Descriptive, Diagnostic, Predictive, Prescriptive4:04
  • How to Choose Between Dashboards and Reports in HR Analytics2:56
  • Choose the right answer

Requirements

  • No prior analytics, statistics, or coding experience needed — everything is taught from scratch
  • Basic familiarity with Excel or Google Sheets is helpful but not mandatory

Description

The HR Analytics Certification Course has been designed and instructed by Harjeet Khanduja, Senior Vice President at a leading Fortune 500 organisation, in collaboration with Keka Academy. Harjeet is a seasoned HR professional with 18+ years of experience handling complex organisational structures. This course covers a comprehensive journey from the basics of HR data to advanced analytics tools and AI — teaching you how to collect, analyse, visualise, and storytell with people data, without needing any background in mathematics or statistics.

What you will learn:

  1. HR Analytics Foundation. The DIKW Framework and 4 types of analytics

  2. The POISE Framework — building HR metrics that actually matter

  3. Lagging vs Leading vs Operational KPIs linked to business outcomes

  4. Data collection, cleaning, and validation using Excel and Google Sheets

  5. Essential formulas: VLOOKUP, XLOOKUP, COUNTIF, Pivot Tables, and more

  6. Predictive analytics, Early Warning Systems, and AI use cases in HR

  7. Building free HR dashboards in Looker Studio; using ChatGPT and Gemini for HR analysis

  8. Data visualization — choosing the right chart for the right story

  9. The ABCD Model for building data narratives and presenting to leadership

  10. Data storytelling — Actors, Background, Conflict, and Conclusion


This course is ideal for: Mid-level to Senior-level HR professionals looking to make data-driven people decisions and earn a stronger seat at the leadership table- HRBPs, HR Managers, HR Heads, VP HR, and CHROs

Who this course is for:

  • HR Business Partners (HRBPs) who want to back their decisions with data and earn credibility with business leaders
  • HR Managers looking to automate reporting, build dashboards, and move from reactive to predictive HR
  • L&D and Talent Acquisition professionals who want to measure and prove the impact of their work
  • HR Heads, VP HR, and CHROs who need to present workforce insights at the leadership and board level
  • Any HR professional at mid to senior level who wants to future-proof their career with analytics and AI skills

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