Hr Metrics And Hr Analytics Master Course With Excel

INTRODUCTION

Businesses in this era are deeply data-driven and Human Resources (HR) analytics has become the go-to for improving HR processes and decision-making. HR analytics leverages data to uncover valuable insights, enabling HR professionals to make informed decisions that enhance recruitment, performance management, and employee satisfaction. By shifting from intuition-based HR practices to evidence-based strategies, organizations can better align their teams with overall business objectives, leading to a more efficient and effective workforce. This course is designed to empower HR professionals with the skills to harness the power of data analytics using Microsoft Excel. Participants will learn how to analyze, visualize, and interpret HR metrics, transforming raw data into actionable insights. The hands-on, practical focus of this course ensures that HR professionals can confidently apply advanced Excel techniques to optimize HR functions such as payroll management, risk management, and strategic decision-making.

COURSE OBJECTIVES

By the end of this course, participants will be able to:

• Utilize Excel formulas for the analysis and visualization of HR metrics.
• Apply Excel in key HR functions including payroll management, risk assessment, and strategic decision-making.
• Create and automate HR metric calculations using MS Excel.
• Develop HR dashboards and master various charting techniques in Excel.
• Implement predictive models such as simple and multiple linear regression to forecast HR outcomes.
• Leverage pivot tables, filtering, and sorting tools in Excel to extract meaningful insights from HR data.

DURATION

10 Days

WHO SHOULD ATTEND

This course is ideal for a variety of professionals, including:

• HR Professionals
• General Managers
• Office Administrators

COURSE CONTENT

Introduction to Advanced Excel

• Mastering Excel shortcuts
• Understanding Excel settings and layout
• Working with fundamentals and numeric data
• Saving Excel files in different formats
• Importing data into Excel

Advanced Excel Formulas and Macros

• Advanced data functions in Excel
• Working with arrays and lists
• Mastering logical and text formulas in Excel
• Basics of VBA and Macros

Types of HR Metrics

• Staffing Metrics
• Training and Development Metrics
• Performance Metrics
• Other HR Metrics
• Introduction to HR charts and dashboards

Excel Charts

• Overview of Excel chart categories
• Creating and formatting bar, column, line, area, pie, doughnut, and scatter charts
• Avoiding common charting pitfalls, such as over-reliance on pie charts
• Frequency distribution and histograms
• Creating sparklines for quick insights

Mini Project: HR Dashboard

• Designing dashboards for age distribution, hiring sources, gender distribution, and department distribution

Pivot Tables, Formatting Data and Tables

• Creating and formatting pivot tables and charts
• Using named ranges and the INDIRECT function
• Excel shortcuts for efficiency

HR Dashboard and Analytics for Presentation and Reports

• Developing pivot charts and formatting them for presentations
• Working with data index and page layouts
• Predictive attrition analysis and animated macro charts
• VLOOKUP and HLOOKUP analysis
• BVG analysis, leave analysis, FNF, and exit analysis
• Grouping data and understanding the Bradford Factor
• HR update calendar and operational dashboards

Predictive Analytics: Introduction

• Introduction to linear regression techniques

Basics of Statistics

• Understanding data types and statistics
• Graphical data representation
• Measures of central tendency and dispersion

Machine Learning: Introduction

• Basics of machine learning
• Building machine learning models

Getting Data Ready for Regression Model

• Gathering business knowledge and exploring data
• Conducting univariate analysis and exploratory data analysis (EDA)
• Descriptive data analytics in Excel
• Identifying and treating outliers and missing values
• Variable transformation and dummy variable creation
• Correlation analysis and creating correlation matrices

Creating Regression Model

• Problem statement formulation
• Using the Ordinary Least Squares (OLS) method
• Assessing model accuracy using RSE and R-squared
• Building and interpreting simple and multiple linear regression models

Mini Project: Linear Regression

• Data processing and preprocessing
• Interpreting results and making predictions using linear regression models

GENERAL NOTES

• The course is delivered by experienced trainers with extensive expertise in the field.
• The training includes a mix of practical activities, theoretical knowledge, group work, and case studies.
• Participants will receive comprehensive training manuals and additional reference materials.
• A certificate is awarded upon successful completion of the course.
• Custom-tailored courses to meet specific organizational needs are available. For more information, contact us at training@skillsforafrica.org.
• The training will be conducted at the Skills for Africa Training Institute in Nairobi, Kenya.
• The training fee covers tuition, materials, lunch, and the training venue. Accommodation and airport transfers can be arranged upon request.
• Payments should be made to our bank account before the training starts, and proof of payment sent to training@skillsforafrica.org.