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Introduction to HR Analytics

Who Should Attend?


Duration: 3 Days

What is HR Analytics? It can be described as People Analytics or Talent Analytics. Of all the departments in an organization, HR department may have the least popular reputation. There are two reasons for it. HR being too soft, too friendly. A lot of the times, HR decisions or work is based on ‘gut feeling’. Whenever, the HR calls you to their office, it may mean something bad is to happen. HR is overlooking the company policy, recruitment, talent development and etc which actually play an important role to the growth and development of an organization. Therefore, when HR become more data driven and analytical savvy, HR analytics can change how traditional things work.

  • Explore and prepare data related to human resources
  • Understand statistical concepts in HR analytics
  • Apply machine learning approaches to extract useful information from HR data
  • Construct predictive model using HR data
  • Interpret HR data to generate analytical insights
  1. Introduction to HR Analytics
    • Human Resource Analytics
    • HR Analytics Maturity Model
    • Employee Lifecycle (ELC) Model
    • People Analytics Cycle
    • Data Analytics
  2. Data Management and Visualization
    • Data and Variables
    • Data Cleaning – Data Errors, Missing Values and Outliers
    • Exploratory Data Analysis (EDA)
    • Visualization
  3. Introduction to Machine Learning
    • Overview of Machine Learning
    • Supervised Learning & Unsupervised Learning
    • Regression & Classification
  4. Regression Analysis
    • Linear Regression ▪ Dummy Variables
    • Models Selection
    • Results Interpretation
  5. Classification
    • Data Validation
    • Performance Evaluation
    • Logistics Regression
    • Naïve Bayes
    • Decision Tree
    • Neural Network
    • Support Vector Machine
    • Models Selection
    • Results Interpretation
    • Factor Analysis
  1. Exploratory Data Analysis
    • Interaction between variables – Which recruitment source is better?
    • Hypothesis testing between groups – Why is employee engagement low?
  2. Regression Analysis
    • Analyze the employee salary
  3. Classification
    • Study the employee retention

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