Hr Analytics Using Excel

Use Excel for HR Analytics, calculate HR metrics, build HR dashboards & ML models for Human Resource & People Analytics

Last updated 2022-01-10 | 4.3

- 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

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

* Requirements

* You will need a PC with any version of Excel installed in it

Description

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

Our Promise

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!

Cheers

Start-Tech Academy

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

Course content

16 sections • 88 lectures

Introduction Preview 03:22

Data Analytics Preview 05:02

Course Resources Preview 00:08

This is a milestone! Preview 03:31

What is HR analytics Preview 03:03

4 steps of HR analytics Preview 07:28

HR metrics - Introduction Preview 02:24

Basic Formula Operations Preview 13:10

Mathematical Functions - part 1 Preview 11:35

Mathematical Functions - part 2 Preview 07:31

Difference between RANK, RANK.AVG and RANK.EQ Preview 00:33

Textual Functions Preview 17:25

Logical Functions Preview 11:24

Date-Time Functions Preview 07:07

Lookup Functions ( V Lookup, Hlookup, Index-Match ) Preview 08:46

Data Tools Preview 19:07

Staffing Metrics Preview 10:26

Training and Development Metrics Preview 02:47

Performance Metrics Preview 01:45

Other Metrics Preview 02:50

Excel Charts - Categories of messages that can be conveyed Preview 04:34

Elements of charts Preview 05:32

The Easy way of creating charts Preview 03:17

Bar and column charts Preview 12:38

Formating charts Preview 15:13

Line Charts Preview 09:04

Area Charts Preview 06:04

Pie and Doughnut Charts Preview 13:04

Why we should avoid Pie charts Preview 04:05

Scatter plot or XY chart Preview 16:17

Frequency Distribution and Histograms Preview 13:03

Sparklines Preview 05:43

Quiz

Hr Dashboard - Introduction Preview 03:53

Hr Dashboard - Age Distribution Preview 07:03

Hr Dashboard - Hiring source Preview 05:12

Hr Dashboard - Gender distribution Preview 05:40

Hr Dashboard - Department distribution Preview 03:54

HR Dashboard - Pivot chart Preview 05:53

HR Dashboard - Formatting Preview 08:35

Types of Data Preview 04:04

Types of Statistics Preview 02:45

Describing data Graphically Preview 11:37

Measures of Centers Preview 07:05

Measures of Dispersion Preview 04:26

Introduction to Machine Learning Preview 16:03

Building a Machine Learning Model Preview 08:42

Gathering Business Knowledge Preview 03:26

Data Exploration Preview 03:19

The Data and the Data Dictionary Preview 07:31

Univariate analysis and EDD Preview 03:34

Descriptive Data Analytics in Excel Preview 10:33

Outlier Treatment Preview 04:15

Identifying and Treating Outliers in Excel Preview 04:14

Missing Value Imputation Preview 03:36

Identifying and Treating missing values in Excel Preview 04:00

Variable Transformation in Excel Preview 03:41

Dummy variable creation: Handling qualitative data Preview 04:50

Dummy Variable Creation in Excel Preview 07:44

Correlation Analysis Preview 09:47

Creating Correlation Matrix in Excel Preview 08:07

The Problem Statement Preview 01:25

Basic Equations and Ordinary Least Squares (OLS) method Preview 08:13

Assessing accuracy of predicted coefficients Preview 14:40

Assessing Model Accuracy: RSE and R squared Preview 07:19

Creating Simple Linear Regression model Preview 02:41

Multiple Linear Regression Preview 04:57

The F - statistic Preview 08:22

Interpreting results of Categorical variables Preview 05:04

Creating Multiple Linear Regression model Preview 07:35

Case Study Linear Regression - Introduction Preview 01:56

Case study Linear Regression - Data Preview 05:25

Case study Linear Regression - Preprocessing Preview 07:10

Case study Linear Regression - Results Preview 10:15

Case study Linear Regression - Prediction Preview 06:54

Income Tax calculation - Slabs based tax Preview 00:17

The final milestone! Preview 01:33

Congratulations & About your certificate Preview 00:27