Advanced Human Resources Reporting Decision Making Using Excel

This course equips HR professionals with the skills to analyze HR data using Excel, develop interactive dashboards, and generate insightful reports on performance, payroll, employee turnover, and training effectiveness to support data-driven HR decision-making.

Date
To be announced
Programme Fee
RM2,800 excl. SST

HRD Corp Claimable HRD Corp Claimable HRD Corp Claimable

Overview

This program equips HR professionals with the skills to transform raw HR
data into actionable insights using Excel. Participants will learn to clean,
structure, and analyze data, apply advanced formulas, and design
interactive dashboards. By the end, you will be able to present clear,
accurate, and visually impactful HR reports that support strategic decision
making.

Programme Outline

Day 1: Introduction to Excel Dashboards & Data Integration

  • Introduction to Excel Dashboards
  • Setting Up Your Data for Dashboard Creation
  • Visualizing HR Data with Charts
  • Applying Filters, Slicers and Tables

Day 2: Advanced Dashboard Techniques & Interactivity

  • Using PivotTables for Data Analysis
  • Creating Interactive Dashboards
  • Advanced Excel Functions for Dashboarding
  • Designing and Finalizing Your HR Dashboard

Learning Objectives & Outcomes

  1. Understand the principles of Excel dashboard design and prepare, clean, and structure HR data for effective analysis.

  2. Use Excel Tables, Charts, PivotTables, Filters, and Slicers to analyze and visualize HR metrics.

  3. Apply advanced Excel functions to develop interactive dashboards and automate HR reporting.

  4. Design and finalize user-friendly HR dashboards to monitor employee performance, payroll trends, turnover rates, and training effectiveness for informed decision-making.

Who Should Attend

  • HR Professionals and HR Executives
  • HR Analysts and People Analytics Practitioners
  • HR Managers and Heads of Department
  • Payroll, Training and Performance Management Personnel involved in HR reporting and data analysis

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