HR-Analytics-Image-one

HR Analytics

Course Outline

Module NameCategoryTopicsLearning objectives of the topics
Sneak Peak to the Human Resource AnalyticsHuman ResourceThe 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 WordDescribe the evolution stages of Analytics in Business and HR
Classifying HR DataExplain 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 organizationDescribe the journey from operational reporting to predictive analytics
Getting Started with AnalyticsExplain the statistics and problem solving using Excel and R
Describe the DCOVA&I framework process
Technical Tool for AnalyticsDemonstrate the Basics of ExcelDemonstrate the formulae and Analysis Toolpak in Excel
Analysing the Attrition Using Descriptive StatisticsQuick RecapDiscovering Descriptive StatisticsDescribe Descriptive Statistics
Applying Descriptive Statistics using ExcelDemonstrate Descriptive Statistics in Excel
Applying Descriptive Statistics using RDemonstrate Descriptive Statistics in R
Case StudyCase study 1- Brief on the company and problem statement – Create and effective MIS for attrition management ; understand the dataDescribe the problem statement
Demonstrating the Attrition Analysis using ExcelDemonstrate the analysis of attrition using Excel
Demonstrating the Attrition Analysis using RDemonstrate the analysis of attrition using R
Projecting the Future Job Performance using Associative StatisticsQuick RecapDiscovering Associative StatisticsDescribe Associative Statistics
Applying Associative Statistics using ExcelDemonstrate Associative Statistics in Excel
Applying Associative Statistics using RDemonstrate Associative Statistics in R
Case StudyCase study 2 – Company wants to analyse if the new hire performace in induction can be linked to future performance on jobConcepts
Demonstrate the Analysis using ExcelHow to use Excel
Demonstrate the Analysis using RHow to use R
Predicting the Appraisal on Performance using Infrential StatisticsQuick RecapInfrential StatisticsDescribe Inferential Statistics
Applying Infrential Statistics using ExcelDemonstrate Inferential Statistics in Excel
Applying Infrential Statistics using RDemonstrate Inferential Statistics in R
Case StudyCase study 3 – A company wants to check for appraisal results and analyse it across 2 performace cyclesConcepts
Demonstrate the Appraisal Analysis using ExcelHow to use Excel
Demonstrate the Appraisal Analysis using RHow to use R
Analysing the Employee Engagement Scores using Differences StatisticsQuick RecapDifferences StatisticsDescribe Differences Statistics
Applying Differences Differences using ExcelDemonstrate Differences Statistics in Excel
Applying Differences Differences using RDemonstrate Differences Statistics in R
Case StudyCase study 4 – Company wants to analyse engagement scores across verticalsConcepts
Demonstrate the Employee Engagement Scores using ExcelHow to use Excel
Demonstrate the Employee Engagement Scores using RHow to use R
Predicting the HR Cost using Time SeriesQuick RecapPredictive Statistics – Time SeriesDescribe Time Series Statistics
Applying Predictive Statistics – Time Series using ExcelDemonstrate Time Series Statistics in Excel
Applying Predictive Statistics – Time Series using RDemonstrate Time Series Statistics in R
Case StudyCase study 5 – A company wants to predict costs for future planningConcepts
Predict the HR Cost using ExcelHow to use Excel
Predict the HR Cost using RHow to use R
Predicting the Possible Value of Employee Salary using Principal Component AnalysisQuick RecapPredictive Statistics – Linear Regression AnalysisDescribe Linear Regression Statistics
Applying  Linear Regression  Analysis using ExcelDemonstrate Linear Regression Statistics in Excel
Applying Linear Regression Analysis using RDemonstrate Linear Regression Statistics in R
Case StudyCase study 6 – Company wants to Predict possible salary for offer letter generationConcepts
Predict the Possible Value of Employee Salary using ExcelHow to use Excel
Predict the Possible Value of Employee Salary using RHow to use R
Predicting the Probability of Attrition using Logistic RegressionQuick RecapPredictive Statistics – Logistic RegressionDescribe Logistic Regression Statistics
Applying Logistic Regression using ExcelDemonstrate Logistic Regression Statistics in Excel
Applying Logistic Regression using RDemonstrate Logistic Regression Statistics in R
Case StudyCase study 7 – A company wants to predict probability of attritionConcepts
Predict the Probability of Attrition using ExcelHow to use Excel
Predict the Probability of Attrition using RHow to use R
Understanding the main drivers of EngagementQuick RecapAssociative Statistics – Principal Component AnalysisDescribe Principal Component Analysis Statistics
Applying Principal Component Analysis using ExcelDemonstrate Principal Component Analysis Statistics in Excel
Applying Principal Component Analysis using RDemonstrate Principal Component Analysis Statistics in R
Case StudyCase study 8 – Company wants to understand what are the Main Drivers / Principal Components of EngagementConcepts
Check PCA for Engagement  using ExcelHow to use Excel
Check PCA for Engagement  using RHow to use R
Cheking the best program for employeesQuick RecapAssociative Statistics – Segmentation through clusteringDescribe Segmentation through clustering Statistics
Applying Segmentation through clustering  using ExcelDemonstrate Segmentation through clustering  Statistics in Excel
Applying Segmentation through clustering  using RDemonstrate Segmentation through clustering  Statistics in R
Case StudyCase study 9 – A company wants to understand the programs that different employees wantConcepts
Do segmentation through clustering using ExcelHow to use Excel
Do segmentation through clustering using RHow to use R

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.