100% Discount || HR Analytics using MS Excel for Human Resource Management

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.

• 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