Welcome to the course!

Analitik SDM: Memprediksi Pergantian Karyawan dengan R

Anurag Gupta and Abhishek Trehan

People Analytics Practitioners

Understanding employee turnover

  • Churn refers to the gradual loss of employees over a period of time
  • Churn / Turnover / Attrition are interchangeably used

Analitik SDM: Memprediksi Pergantian Karyawan dengan R

Why employee turnover matters?

Analitik SDM: Memprediksi Pergantian Karyawan dengan R

Types of employee turnover

Voluntary turnover
  • When an employee chooses to resign
Involuntary turnover
  • When an organization decides to let go of an employee
Analitik SDM: Memprediksi Pergantian Karyawan dengan R

Common reasons for employee turnover

  • Better opportunity
  • Health
  • Relocation
  • Education
  • Personal reasons etc.
Analitik SDM: Memprediksi Pergantian Karyawan dengan R

Hidden reasons of employees turnover

  • Relationship with manager
  • Percent salary hike
  • Overtime
  • Travel distance
  • Career satisfaction
  • Tenure
Analitik SDM: Memprediksi Pergantian Karyawan dengan R

Course overview

  • Chapter 1: Introduction to employee turnover prediction

  • Chapter 2: Building relationship with data

  • Chapter 3: Building turnover prediction model using logistic regression

  • Chapter 4: Model validation, RoI calculation and retention strategy

Analitik SDM: Memprediksi Pergantian Karyawan dengan R

Basic requirements for the course

  • dplyr: Data wrangling
  • ggplot2: Visualization and exploration
Analitik SDM: Memprediksi Pergantian Karyawan dengan R

Let's practice!

Analitik SDM: Memprediksi Pergantian Karyawan dengan R

Preparing Video For Download...