Leveraging Analytics in HR

HR analytics is revolutionizing the way Human Resource functions, creating opportunities for HR professionals to leverage data to explore more critical areas in the function. More and more HR professionals are incorporating analytics into their work to explore more critical areas in the HR function. This is leading to a wide popularity of HR Analytics courses of late. WeSchool’s online HR Analytics certification course helps you visualize and explore HR data using Microsoft Excel, create interactive dashboards, understand key statistical techniques, manage HR metrics reflecting various HR scenarios, hypothesize testing, predict attrition, retention, employee performance, etc. using regression and logistic regression models.

Course Includes

5 Days

( Only on Weekends )

Online Sessions
INR 12,700 + GST*

Why HR Analytics ?

HR analytics is revolutionizing the way Human Resource functions, and this development has created a huge opportunity for HR professionals to learn the nuances in this field. While the recognition of the practical application of People

Analytics in HR management has been recent, the building blocks to perform this have been evolving since decades. Organizations have started using HR Analytics, a people-oriented decision making process, essentially to improve HR functions.

The workshop is designed to enable participants –

Who Should Attend?

Program Content

Day 1

Session 1: The future of HR

How HR focus area & HR competency will change in the coming year

Duration: 90 Minutes

 

Session 2: Visualize & Explore HR Data in Microsoft Excel

  • An overview of Data Analytics & HR Analytics
  • Understanding various steps of HR Analytics
  • Understanding various types of HR data
  • Data exploration using Microsoft Excel

Duration: 120 Minutes

Day 2

Session 3: Explore the power of Power BI

  • Dashboard creation in Microsoft Excel
  • Introduction to Power BI

Duration: 120 Minutes

 

Session 4: Drawing insights from HR data using Descriptive
Analytics the power of Power Bl

  • Data visualization using Power Bl
  • Univariate, bivariate & multivariate distributions
  • Gathering various measures of descriptive statistics
  • Exploratory Data Analysis

Duration: 120 Minutes

Day 3

Session 5: Managing HR Metrics

  • Understanding HR metrics across various processes
  • In-depth analysis of recruitment sources
  • Investigation of recruitment cost
  • Measuring Employee Net Promoter Score

Duration: 120 Minutes

 

Session 6: Hypothesis Testing- the key to HR Decision Making

  • Understanding Business Hypothesis
  • Sampling Technique

Duration: 120 Minutes

Day 4

Session 7: Hypothesis Testing- the key to HR Decision Making

  • Decision making using Hypothesis Testing
  • Computation of t-test & ANOVA

Analyzing Workers’ Efficiency

Training Effectiveness

Intervention on Work-Life-Balance

Analyzing pay discrimination using ANOVA

Decision making using using Chi-square Test

Decision regarding Declining Offers

Duration: 120 Minutes

 

Session 8: Predicting HR scenarios

 

Session 9: Implementation of Evidence based HR Decision Making

Introduction to predictive scenarios

Regression Analysis: a key predictive model

Predicting Full Time Employee requirement

Employee Performance: An application of Regression Analysis

Duration: 120 Minutes

Our Clients

Testimonials

Here are some feedback we received from our students who attended our previous HR Analytics Program;

Rajesh - HR Professional

Neeraja - Trainer, LLP Practitioner

FAQs

HR Analytics is the field of analytics that deals with people analysis and applying analytical process to the human capital within the organization to improve employee performance, and employee retention. HR Analytics includes metrics of the HR function like time to hire, succession planning, training expenses for every individual employee, etc.
Learning HR Analytics helps in improving both business processes and HR functions. HR analytics can help HR teams monitor employee performance and engagement to reduce turnover and build a more productive workforce. Companies are built upon the strength and innovation of their workforce. Without HR analytics, human resource professionals risk missing important trends, like bad managers or lack of professional development. Unhappy or unfulfilled employees will cost any company dearly in terms of lost productivity and money.

HR Analytics opens the path to become HR Managers, HR director, HR generalist, and also HR Information System Analysts. HR Analysts play a major role in enhancing the efficiency of an organization. HR is a rewarding career; pursuing an HR Analytics course helps you learn scientific elements. One of the well-known careers within the HR field is a Human Resource Analyst.

For many jobs, AI is changing how responsibilities are performed. These amended roles will require new skills and new ways of working—with a greater emphasis on creativity and collaboration. HR analytics is helping in identifying trends in current learning and training patterns. In-house HR departments are reducing in size due to new software and its consequent employee independence. Self-service portals have become all the rage with employees doing much more on their own. Most employees can work with data systems to automate processes. A lot of organizations are now focusing on Predictive Analytics and people analytics technology and consumer experience intelligence is going to be at the forefront to boost business and customer impact.

Some of the benefits of HR Analytics are:

  • The HR analytics helps HR to make better choices while the analytics tool helps you derive the best candidates during the hiring process. 
  • HR Analytics and associated tools help to target the right candidates for a specific position. 
  • HR Analytics helps to improve the overall recruitment process. With this, the process becomes more efficient and quicker. 
  • With the knowledge of HR Analytics, one can analyze and track employee performance-related data. It helps HRs to identify unique talents within the organization.

 

Application

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