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HR Analytics


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Description
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Description

Course Outline

Module Name Category Topics Learning objectives of the topics
Sneak Peak to the Human Resource Analytics Human Resource The World of Human Resource (HR) – Human Capital • Define the HR function
• Describe the key deliverables of the HR function
Navigating  through the evolution of HR • Outline  the evolution of HR
Discovering the  Key HR processes and defining HR Metrics • Explain the key processes in HR function
• Describe delivery of each process (hiring; engagament; L&D, Performance, attrition, Comp & Ben)
Human Resource Analytics  HR Analytics – the New Buzz Word Describe the evolution stages of Analytics in Business and HR
Classifying HR Data Explain the types of data in HR  – Primary , Secondary
Describe the sources of data and some common softwares
Explain Big Data in HR
Using HR Analytics in an organisation / Roadmap of HR Analytics in an organization Describe the journey from operational reporting to predictive analytics
Getting Started with Analytics Explain the statistics and problem solving using Excel and R
Describe the DCOVA&I framework process
Technical Tool for Analytics Demonstrate the Basics of Excel Demonstrate the formulae and Analysis Toolpak in Excel
Analysing the Attrition Using Descriptive Statistics Quick Recap Discovering Descriptive Statistics Describe Descriptive Statistics
Applying Descriptive Statistics using Excel Demonstrate Descriptive Statistics in Excel
Applying Descriptive Statistics using R Demonstrate Descriptive Statistics in R
Case Study Case study 1- Brief on the company and problem statement – Create and effective MIS for attrition management ; understand the data Describe the problem statement
Demonstrating the Attrition Analysis using Excel Demonstrate the analysis of attrition using Excel
Demonstrating the Attrition Analysis using R Demonstrate the analysis of attrition using R
Projecting the Future Job Performance using Associative Statistics Quick Recap Discovering Associative Statistics Describe Associative Statistics
Applying Associative Statistics using Excel Demonstrate Associative Statistics in Excel
Applying Associative Statistics using R Demonstrate Associative Statistics in R
Case Study Case study 2 – Company wants to analyse if the new hire performace in induction can be linked to future performance on job Concepts
Demonstrate the Analysis using Excel How to use Excel
Demonstrate the Analysis using R How to use R
Predicting the Appraisal on Performance using Infrential Statistics Quick Recap Infrential Statistics Describe Inferential Statistics
Applying Infrential Statistics using Excel Demonstrate Inferential Statistics in Excel
Applying Infrential Statistics using R Demonstrate Inferential Statistics in R
Case Study Case study 3 – A company wants to check for appraisal results and analyse it across 2 performace cycles Concepts
Demonstrate the Appraisal Analysis using Excel How to use Excel
Demonstrate the Appraisal Analysis using R How to use R
Analysing the Employee Engagement Scores using Differences Statistics Quick Recap Differences Statistics Describe Differences Statistics
Applying Differences Differences using Excel Demonstrate Differences Statistics in Excel
Applying Differences Differences using R Demonstrate Differences Statistics in R
Case Study Case study 4 – Company wants to analyse engagement scores across verticals Concepts
Demonstrate the Employee Engagement Scores using Excel How to use Excel
Demonstrate the Employee Engagement Scores using R How to use R
Predicting the HR Cost using Time Series Quick Recap Predictive Statistics – Time Series Describe Time Series Statistics
Applying Predictive Statistics – Time Series using Excel Demonstrate Time Series Statistics in Excel
Applying Predictive Statistics – Time Series using R Demonstrate Time Series Statistics in R
Case Study Case study 5 – A company wants to predict costs for future planning Concepts
Predict the HR Cost using Excel How to use Excel
Predict the HR Cost using R How to use R
Predicting the Possible Value of Employee Salary using Principal Component Analysis Quick Recap Predictive Statistics – Linear Regression Analysis Describe Linear Regression Statistics
Applying  Linear Regression  Analysis using Excel Demonstrate Linear Regression Statistics in Excel
Applying Linear Regression Analysis using R Demonstrate Linear Regression Statistics in R
Case Study Case study 6 – Company wants to Predict possible salary for offer letter generation Concepts
Predict the Possible Value of Employee Salary using Excel How to use Excel
Predict the Possible Value of Employee Salary using R How to use R
Predicting the Probability of Attrition using Logistic Regression Quick Recap Predictive Statistics – Logistic Regression Describe Logistic Regression Statistics
Applying Logistic Regression using Excel Demonstrate Logistic Regression Statistics in Excel
Applying Logistic Regression using R Demonstrate Logistic Regression Statistics in R
Case Study Case study 7 – A company wants to predict probability of attrition Concepts
Predict the Probability of Attrition using Excel How to use Excel
Predict the Probability of Attrition using R How to use R
Understanding the main drivers of Engagement Quick Recap Associative Statistics – Principal Component Analysis Describe Principal Component Analysis Statistics
Applying Principal Component Analysis using Excel Demonstrate Principal Component Analysis Statistics in Excel
Applying Principal Component Analysis using R Demonstrate Principal Component Analysis Statistics in R
Case Study Case study 8 – Company wants to understand what are the Main Drivers / Principal Components of Engagement Concepts
Check PCA for Engagement  using Excel How to use Excel
Check PCA for Engagement  using R How to use R
Cheking the best program for employees Quick Recap Associative Statistics – Segmentation through clustering Describe Segmentation through clustering Statistics
Applying Segmentation through clustering  using Excel Demonstrate Segmentation through clustering  Statistics in Excel
Applying Segmentation through clustering  using R Demonstrate Segmentation through clustering  Statistics in R
Case Study Case study 9 – A company wants to understand the programs that different employees want Concepts
Do segmentation through clustering using Excel How to use Excel
Do segmentation through clustering using R How to use R

How to Register

Timings: 9:30 am – 5:00 pm, Registration begins at 9:00 am

How to Register:

  • Fees: Rs. 14,800/- + 18% GST Per Person
  • Please write to register@princetonacademy.co.in / Call -022 67256200
  • Mention the name of participant, company, contact details.
  • Fees include lunch, tea, course material, participation certificate etc.


Click here to Register