13 Topics
5 Days
48 Sessions
Programme Overview
Training Description
This course is ideal for a variety of professionals, including:
• HR Professionals
• General Managers
• Office Administrators
Session Objectives
- 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.
About the Course
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.
Curriculum & Topics
13 Topics | 48 Sessions
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Workshop 1.1:
Mastering Excel shortcuts
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Workshop 1.2:
Understanding Excel settings and layout
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Workshop 1.3:
Working with fundamentals and numeric data
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Workshop 1.4:
Saving Excel files in different formats
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Workshop 1.5:
Importing data into Excel
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Workshop 2.1:
Advanced data functions in Excel
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Workshop 2.2:
Working with arrays and lists
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Workshop 2.3:
Mastering logical and text formulas in Excel
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Workshop 2.4:
Basics of VBA and Macros
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Workshop 3.1:
Staffing Metrics
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Workshop 3.2:
Training and Development Metrics
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Workshop 3.3:
Performance Metrics
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Workshop 3.4:
Other HR Metrics
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Workshop 3.5:
Introduction to HR charts and dashboards
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Workshop 4.1:
Overview of Excel chart categories
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Workshop 4.2:
Creating and formatting bar, column, line, area, pie, doughnut, and scatter charts
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Workshop 4.3:
Avoiding common charting pitfalls, such as over-reliance on pie charts
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Workshop 4.4:
Frequency distribution and histograms
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Workshop 4.5:
Creating sparklines for quick insights
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Workshop 5.1:
Designing dashboards for age distribution, hiring sources, gender distribution, and department distribution
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Workshop 6.1:
Creating and formatting pivot tables and charts
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Workshop 6.2:
Using named ranges and the INDIRECT function
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Workshop 6.3:
Excel shortcuts for efficiency
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Workshop 7.1:
Developing pivot charts and formatting them for presentations
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Workshop 7.2:
Working with data index and page layouts
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Workshop 7.3:
Predictive attrition analysis and animated macro charts
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Workshop 7.4:
VLOOKUP and HLOOKUP analysis
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Workshop 7.5:
BVG analysis, leave analysis, FNF, and exit analysis
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Workshop 7.6:
Grouping data and understanding the Bradford Factor
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Workshop 7.7:
HR update calendar and operational dashboards
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Workshop 8.1:
Introduction to linear regression techniques
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Workshop 9.1:
Understanding data types and statistics
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Workshop 9.2:
Graphical data representation
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Workshop 9.3:
Measures of central tendency and dispersion
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Workshop 10.1:
Basics of machine learning
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Workshop 10.2:
Building machine learning models
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Workshop 11.1:
Gathering business knowledge and exploring data
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Workshop 11.2:
Conducting univariate analysis and exploratory data analysis (EDA)
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Workshop 11.3:
Descriptive data analytics in Excel
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Workshop 11.4:
Identifying and treating outliers and missing values
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Workshop 11.5:
Variable transformation and dummy variable creation
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Workshop 11.6:
Correlation analysis and creating correlation matrices
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Workshop 12.1:
Problem statement formulation
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Workshop 12.2:
Using the Ordinary Least Squares (OLS) method
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Workshop 12.3:
Assessing model accuracy using RSE and R-squared
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Workshop 12.4:
Building and interpreting simple and multiple linear regression models
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Workshop 13.1:
Data processing and preprocessing
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Workshop 13.2:
Interpreting results and making predictions using linear regression models
