PEOPLE ANALYTICS – Talent Management

Who Should Attend?

HR PROFESSIONALS involve in STRATEGIC PLANNING

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Duration: 3 Days

HR professionals are always urged by different questions such as “How high is your annual employee turnover?” or “Do you know which employees will be the most likely to leave your company within a year?”. These questions can only be answered using data. Most HR professionals can easily answer the first question, but not the second question. In this course, we will bring you through different scenarios or case studies that always faced by HR professionals, using the analytical approaches. Be confident, analytics can change this. The challenges can be resolved by becoming more data-driven and analytical savvy.

  • 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

Introduction to HR Analytics

  • Human Resource Analytics
  • HR Analytics Maturity Model
  • Employee Lifecycle (ELC) Model
  • People Analytics Cycle
  • Data Analytics

Data Management and Visualization

  • Data and Variables
  • Data Cleaning – Data Errors, Missing Values and Outliers
  • Exploratory Data Analysis (EDA)
  • Visualization

Introduction to Machine Learning

  • Overview of Machine Learning
  • Supervised Learning & Unsupervised Learning
  • Regression & Classification

Regression Analysis

  • Linear Regression
  • Dummy Variables
  • Models Selection
  • Results Interpretation

Classification

  • Data Validation
  • Performance Evaluation
  • Logistics Regression
  • Naïve Bayes
  • Decision Tree
  • Neural Network
  • Support Vector Machine
  • Models Selection
  • Results Interpretation
  • Factor Analysis

Hands-On Case Study

 Exploratory Data Analysis

  • Interaction between variables – Which recruitment source is better?
  • Hypothesis testing between groups – Why is employee engagement low

Regression Analysis

  • Analyze the employee salary

Classification

  • Study the employee retention

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Drop us your entry if you are interested to join this course.