LF logo
by learnformula
search
Log in
search
Courses/Human Resources/Compensation and Benefits

What Can Employee Salaries Tell Us About a Company?

An Introduction to HR and People Analytics in Excel

Created byKen Dafoe
4.7
(117 reviews)
BeginnerUpdated Apr 14, 2024
What Can Employee Salaries Tell Us About a Company?

What You'll Learn

check_circleUnderstanding of Basic Descriptive Statistics: Learn to calculate and interpret fundamental statistical measures such as mean, median, standard deviation, and coefficient of variation to understand salary distributions​
check_circleData Verification and Cleaning: Gain skills in verifying and cleaning data to ensure accuracy before analysis, such as identifying and handling potential outliers
check_circleApplication of Percentile Analysis: Master the use of percentile ranges to analyze salary data, understand income distribution, and identify disparities within​
check_circleUtilization of Excel for Data Analysis: Become proficient in using Excel for data analysis, including functions like MIN, MAX, AVERAGE, and custom calculations for advanced analysis​
check_circleAnalyzing Income Inequality with Gini and Palma Indices: Develop the ability to calculate and interpret the Gini coefficient and Palma ratio to assess income inequality within a dataset
check_circleCritical Thinking and Analytical Reasoning: Enhance critical thinking and analytical reasoning skills through the interpretation of data, identification of patterns, and suggestion of actionable insights based on analysis

About This Course

"What Can Employee Salaries Tell Us About a Company" is a comprehensive video course tailored for HR and Finance professionals keen on mastering salary analysis through Excel. This course equips you with strategies to efficiently structure and analyze employee salary data, enabling you to craft detailed analyses and presentations from your findings.

We begin with an intriguing scenario: "What insights about a company can be drawn from employee salaries in just 60 minutes?" Starting with basic descriptive statistics, we cut into advanced analyses, including the Lorenz Curve, Gini Ratio, and Palma Index. These tools help us explore salary equity within a company, shedding light on the company's structure. Is it hierarchical or flat? Does pay distribution suggest inequality between top earners and the broader employee base? We'll discuss whether to use mean or median salary as a representative figure, identify outliers, and interpret the distribution of the salary data histogram.

Whether you're an HR professional venturing into data analysis or a seasoned analyst looking to broaden your expertise with employee data, this course serves as an ideal introduction to People Analytics.

Included with the course are two Excel files, an opening file with the raw salaries and a complete file with all analysis and presentation insights. You can use the complete file to follow along with the video instructions or build the analysis yourself using the opening file. Plus, there is a final quiz to test your understanding of the concepts and Excel functions introduced in this course.

Your Instructor

Ken Dafoe
Ken Dafoe

College Teacher in HR and People Analytics

menu_book5 courses
star310 reviews

I have always woven teaching into my professional journey, starting with consulting engagements across Canada and the United States before moving into academia. With a combined 40 years of experience in teaching data and analytics, my career has been rich and varied. At CPA Canada, I created IT course materials and devised several hundred multiple-choice questions for exams, in addition to publishing numerous articles on data in business IT publications. The advent of AI and machine learning, alongside the development of environments like RStudio, marked a pivotal moment in data analysis, transitioning from merely descriptive to advanced predictive analytics. This shift transformed the role of data in business and ignited my interest in how data can enhance human resources practices. At the college level, I developed two courses for HR graduate certificate students, focusing on leveraging people data to gain deeper insights into employee dynamics. Throughout my academic career, I have co-authored four papers, contributing the data analysis and interpretation sections. I am thrilled to share my insights and techniques with HR and other interested professionals on this platform. Whether you're new to working with people data or looking to enhance your existing skills, I hope to guide you through the fascinating world of data analytics in HR.

Credit Information

Is this course eligible for my CPD requirements as a Canadian CPA?

Provincial regulators of CPAs in Canada do not require that independent providers of CPD be approved to offer courses. Instead, individual CPAs are responsible for assessing whether a CPD activity meets their requirements, and may take activities from any source provided those requirements are met.

Every course offered on LearnFormula is delivered by a qualified subject matter expert or learning organization, and advances learning objectives that are relevant to the responsibilities or professional competencies of Canadian CPAs. All activities on LearnFormula are quantifiable in terms of hours, and are also verifiable, in that users receive documented evidence of their attendance via a certificate of completion after finishing a course (and this certificate is stored by LearnFormula indefinitely). Nearly 100,000 Canadian CPAs successfully satisfy their CPD requirements via LearnFormula on an annual basis.

What Students Are Saying

4.7
Student's Choice
117 reviews

Frequently Asked Questions

We are a registered provider with 327+ associations and regulatory bodies worldwide. We operate across 29 global markets including Canada, the US, Australia, and the UK. Every course page clearly displays its specific accreditations. Upon completion, you receive a professional certificate that can be validated online. Our certificates include all necessary accreditation details, credit hours, and completion dates, and are formatted specifically to meet the submission requirements of most global regulatory bodies.