### HR Analytics

Description

How to Register

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.c**/ Call -022 67256200o.in - Mention the name of participant, company, contact details.
- Fees include lunch, tea, course material, participation certificate etc.