1.1 Understanding the Role of Staffing Analytics
1.2 Importance of Data-Driven Decision Making in Staffing
1.3 Key metrics in staffing analytics
1.4 Overview of Staffing Analytics
1.5 Ethical Considerations in Staffing Analytics
2.1 Identifying Relevant Data Sources for Staffing Analytics
2.2 Data Cleaning and Quality Assurance Techniques in Staffing Analytics
2.3 Data Privacy and Security in Staffing Analytics
2.4 Creating a Data Collection Plan
2.5 Handling Missing Data in Staffing Analytics
3.1 Exploratory Data Analysis (EDA) for Staffing
3.2 What Exploratory Data Analysis for Staffing consist of?
3.3 Descriptive statistics in Staffing Analyzation
3.4 Staffing Dashboards
3.5 Staffing Reports
4.1 Introduction to Predictive Modeling in Staffing
4.2 Identifying Predictive Factors in Employee Recruitment
4.3 Identifying Predictive Factors: Historical Performance, Skills and Competencies, Educational Background, Work Experience
4.4 Identifying Predictive Factors: Cultural Fit, Soft Skills, Motivation and Engagement, and Employee Tenure and Turnover Patterns
4.5 Performance Metrics in Similar Roles, Job Fit Assessments, Predictive Analytics Feedback Loop
5.1 Building Staffing Forecast
5.2 Types of Staffing Forecast Models
5.3 Time Series Models, Regression Models, Markov Models
5.4 Scenario-Based Models, Machine Learning Models, Workforce Analytics Platforms
5.5 Monte Carlo Simulation, Historical Trend Analysis, Employee Performance Models
