HR Analytics using MS Excel for Human Resource Management
Use Excel for HR Analytics, calculate HR metrics, build HR dashboards & ML models for Human Resource & People Analytics
Note: 4.4/5 (2,915 notes) 91,705 students
Instructor(s): Start-Tech Academy
Last update: 2022-08-08
What you’ll learn
- Use MS excel to create and automate the calculation of HR metrics
- Make HR Dashboards and understand all the charts that you can draw in Excel
- Become proficient in Excel data tools like Sorting, Filtering, Data validations and Data importing
- Use pivot tables filtering and sorting options in Excel to summarize and derive information out of the HR data
- Implement predictive ML models such as simple and multiple linear regression to predict outcomes to real world HR problems
- Knowledge of all the essential Excel formulas required for HR Analytics
- Master Excel’s most popular lookup functions such as Vlookup, Hlookup, Index and Match
- You will need a PC with any version of Excel installed in it
You’re looking for a complete course on understanding HR Analytics using Excel to drive business decisions, right?
You’ve found the right HR Analytics using MS Excel course! HR analytics provides scientific support to decision-making concerning a firm’s human resources. This course on HR analytics addresses the topic of HR analytics with a practical focus, focusing especially on demystifying analytics for Human Resource managers, from both statistical and computing point of view.
After completing this course you will be able to:
Use MS Excel to create and automate the calculation of HR metrics and devise HR analytics techniques in your workplace
Make HR Dashboards as per HR analytics standards and understand all the charts that you can draw in Excel
Implement predictive ML models such as simple and multiple linear regression to predict outcomes to real-world HR problems using HR analytics techniques
Use HR analytics tools like pivot tables filtering and sorting options in Excel to summarize and derive information out of the available HR data
create appealing data summaries and dashboards to present the HR story in the most effective way
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this HR Analytics: Strategies & Models in Excel course.
If you are a Human Resources manager or an executive, or a student who wants to learn and apply HR analytics techniques to real-world problems of the HR business function, this course will give you a solid base for that by teaching you the most popular HR analytics models and how to implement HR analytics in MS Excel.
Why should you choose this course?
We believe in teaching by example. This course is no exception. Every Section’s primary focus is to teach you the concepts through how-to examples. Each section has the following components:
Theoretical concepts and use cases of different HR analytics models
Step-by-step instructions on implementing HR analytics models in excel
Downloadable Excel files containing data and solutions used in each lecture on HR analytics and Human Resource Management
Class notes and assignments to revise and practice the concepts on HR analytics and Human Resource Management
The practical classes where we create the model for each of these strategies is something that differentiates this course from any other course available online.
What makes us qualified to teach you?
The course is taught by Abhishek (MBA – FMS Delhi, B.Tech – IIT Roorkee) and Pukhraj (MBA – IIM Ahmedabad, B.Tech – IIT Roorkee). As managers in the Global Analytics Consulting firm, we have helped businesses solve their business problem using Analytics and we have used our experience to include the practical aspects of HR analytics in this course.
We are also the creators of some of the most popular online courses – with over 600,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman – Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. – Daisy
Teaching our students is our job and we are committed to it. If you have any questions about the course content, HR analytics tools, human resource management, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Quizzes, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts on HR analytics and human resource management. Each section contains a practice assignment for you to practically implement your learning on HR analytics and human resource management.
What is covered in this course?
The analysis of data is not the main crux of analytics. It is the interpretation that helps provide insights after the application of analytical techniques that makes analytics such an important discipline. We have used the most popular analytics software tool which is MS Excel. This will aid the students who have no prior coding background to learn and implement HR analytics concepts to actually solve real-world HR problems.
Let me give you a brief overview of the course
Part 1 – Introduction
In this section, we will learn about the course structure and the meaning of some key terms associated with HR Analytics.
Part 2 – Essential MS Excel formulas and using them to calculate HR metrics
In this part, we will start with a tutorial on all the popular MS Excel formulas. Then we will see the implementation of these to calculate and automate the HR metrics. This is an important part of HR analytics of a human resource dataset. We also discuss a separate case study where we use Excel to calculate the average cost of external and internal hiring.
Part 3 – Visualization in Excel and HR Dashboarding
In this part, we will begin with a tutorial on all the popular charts and graphs that can be drawn in MS Excel. Then we will see the implementation of these to create visualize HR analytics of the available HR data. We also discuss a separate case study where we use Excel to build a department-wise demographic distribution of human resources.
Part 4 – Data summarization using Pivot tables
In this part, we will learn about several advanced topics in MS Excel such as Pivot tables, indirect functions, and also about data formatting. Then we will see the implementation of these to create beautiful summaries of HR analytics of the available HR data. We also discuss a separate case study where we use Excel to build a dynamic department wise demographic dashboard and format it to make it presentable.
Part 5 – Basics of Machine Learning and Statistics
In this part, we introduce the students to the basics of statistics and ML. This part is for students who have no background understanding of ML and statistics concepts.
Part 6 – Preprocessing Data for ML models
In this section, you will learn what actions you need to take step by step to get the data and then prepare it for analysis these steps are very important. We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bivariate analysis then we cover topics like outlier treatment, missing value imputation, variable transformation, and correlation.
Part 7 – Linear regression model for predicting metrics
This section starts with a simple linear regression and then covers multiple linear regression.
We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don’t understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.
We also look discuss an HR case study where we try to predict the CTC to be offered to new recruits basis their previous experience, past CTC, job location, and qualification.
I am pretty confident that the course will give you the necessary knowledge and skills related to HR analytics and human resource management to immediately see practical benefits in your workplace.
Go ahead and click the enroll button, and I’ll see you in lesson 1 of this HR analytics course!
Who this course is for
- Anyone curious to master HR Analytics from beginner to Advanced in short span of time
- Student who wants to have a career in the field of HR/ HR Analytics
- HR manager/ executive who wants to expand on the current set of skills
- HR Analytics -Introduction
- Data Analytics
- Course Resources
- This is a milestone!
- What is HR analytics
- 4 steps of HR analytics
- HR metrics – Introduction
- Essential Formulas
- Basic Formula Operations
- Mathematical Functions – part 1
- Mathematical Functions – part 2
- Difference between RANK, RANK.AVG and RANK.EQ
- Textual Functions
- Logical Functions
- Date-Time Functions
- Lookup Functions ( V Lookup, Hlookup, Index-Match )
- Data Tools
- Types of HR Metrics
- Staffing Metrics
- Training and Development Metrics
- Performance Metrics
- Other Metrics
- HR Metrics – Case Study
- Data and Problem statement
- HR Charts and Dashboards – Introduction
- HR Charts – Introduction
- Excel Charts
- Excel Charts – Categories of messages that can be conveyed
- Elements of charts
- The Easy way of creating charts
- Bar and column charts
- Formating charts
- Line Charts
- Area Charts
- Pie and Doughnut Charts
- Why we should avoid Pie charts
- Scatter plot or XY chart
- Frequency Distribution and Histograms
- NEW! Maps Chart – only for Excel 2019 and above
- Maps chart
- Case Study 2 – HR Dashboard
- Hr Dashboard – Introduction
- Hr Dashboard – Age Distribution
- Hr Dashboard – Hiring source
- Hr Dashboard – Gender distribution
- Hr Dashboard – Department distribution
- Pivot Tables, Formatting data and tables
- Pivot Tables
- Pivot Charts
- Formatting data and tables
- Named Ranges
- Indirect Function
- Case Study 3 – HR Dashboard
- HR Dashboard – Pivot chart
- HR Dashboard – Formatting
- Case Study 4 – Using the right KPI’s
- Problem Statement
- Predictive Analytics – Introduction
- Linear Regression – Introduction
- Basics of Statistics
- Types of Data
- Types of Statistics
- Describing data Graphically
- Measures of Centers
- Measures of Dispersion
- Machine Learning -Introduction
- Introduction to Machine Learning
- Building a Machine Learning Model
- Getting Data Ready for Regression Model
- Gathering Business Knowledge
- Data Exploration
- The Data and the Data Dictionary
- Univariate analysis and EDD
- Descriptive Data Analytics in Excel
- Outlier Treatment
- Identifying and Treating Outliers in Excel
- Missing Value Imputation
- Identifying and Treating missing values in Excel
- Variable Transformation in Excel
- Dummy variable creation: Handling qualitative data
- Dummy Variable Creation in Excel
- Correlation Analysis
- Creating Correlation Matrix in Excel
- Creating Regression Model
- The Problem Statement
- Basic Equations and Ordinary Least Squares (OLS) method
- Assessing accuracy of predicted coefficients
- Assessing Model Accuracy: RSE and R squared
- Creating Simple Linear Regression model
- Multiple Linear Regression
- The F – statistic
- Interpreting results of Categorical variables
- Creating Multiple Linear Regression model
- Case Study 5 – Linear Regression
- Case Study Linear Regression – Introduction
- Case study Linear Regression – Data
- Case study Linear Regression – Preprocessing
- Case study Linear Regression – Results
- Case study Linear Regression – Prediction
- NEW! Importing data from PDF – Excel 2021 and office 365
- Importing tables from PDF
- Bonus Section
- Income Tax calculation – Slabs based tax
- The final milestone!
- Bonus Lecture
Excel Skills for Business [Coursera]
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