The British Academy for Training and Development offers a comprehensive and practical HR Predictive Analytics Training Course. The course gives HR professionals the tools and techniques to carry out predictive analytics in HR. It equips attendees to use data analytics for forecasting workforce trends for smart talent management. The training would start with basic concepts of HR metrics and KPIs in use, then deal with methods of collecting and analysing HR data using current tools.

Attendees will cover workforce planning aspects through analytics, including talent acquisition analysis, employee retention forecasting, and turnover prediction. It would address the practice of predictive modelling on historical HR data and initiation of machine learning algorithms for deeper HR analytics.

Employee performance prediction, succession planning, and skills gap analysis are among the key areas of discussion. Attendees will learn to work with data visualisation tools like Power BI or Tableau to represent HR insight. The course presents ethical considerations of HR analytics, encompassing data privacy and bias mitigation.

By the end of the course, the professional participants of the course will be enabled to apply predictive analytics to HR for taking strategic decisions to promote better organisational results and employee experience. 

Objectives:

• By the end of the course, attendees will be able:

• To enable HR professionals to comprehend and apply predictive analytics in HR.

• To facilitate skills on HR data collection, analysis, and interpretation.

• To equip attendees with knowledge of HR metrics and KPIs aligning with business goals.

• For predictive modelling of employee turnover, retention, and performance.

• The second approach is the machine learning options used for advanced analytics.

• How it promotes ethical use of data to basically counter any biases in HR decision-making.

• Dashboards promote really good data visualisation to communicate HR insights.

Who Should Attend?

• This course is ideal for:

• HR Managers and Officers

• Talent Acquisition Specialists

• HR Analysts

• Business Partners

• Organisational Development Professionals

• Learning and Development Managers

• Anyone involved in strategic HR planning and analytics

How will attendees benefit?

• Attendees will gain many benefits, include:

• Enhanced Decision-Making: Attendees will be able to make accurate data-based HR decisions that are in alignment with organisational goals.

• Advanced Analytical Skills: Attendees will learn how to use predictive models, HR metrics, and machine learning tools for the real-life HR challenges that arise.

• Improved Talent Management: Attendees will be able to use prediction models to predict employee performance retention and workforce needs, thus facilitating better talent acquisition and development strategies.

• Strategic Workforce Planning: They will learn how to analyse data for planning purposes in anticipation of skill gaps and staffing requirements.

• Workshop-Based: The course is practically oriented with hands-on exercises using data visualisation tools like Power BI or Tableau for participants to present HR insights effectively.

• Competitive Advantage: HR professionals will be able to differentiate themselves and their organizations through the knowledge of the latest predictive analytics.

• Ethical Awareness: Attendees will be made aware of data privacy imperatives, ethical usage, and the prevention of bias in HR analytics.

Introduction to HR Predictive Analytics

• Importance of predictive analytics in HR

• Key concepts and benefits

Understanding HR Data

• Types of HR data (structured/unstructured)

• Data sources and collection method

HR Metrics and Key Performance Indicators (KPIs)

• Commonly used HR metrics

• Aligning metrics with business goals

Data Analysis Techniques

• Descriptive vs Predictive analytics

• Statistical tools for HR analysis

Predictive Modelling in HR

• Introduction to predictive modelling techniques

• Developing models using historical HR data

Machine Learning in HR

• Application of ML algorithms in HR analytics

• Automating HR forecasting processes

Workforce Planning and Talent Management

• Forecasting workforce needs

• Predicting future talent gaps

Turnover and Retention Prediction

• Identifying flight risk factors

• Modelling retention strategies

Performance and Succession Planning

• Using analytics to predict high performers

• Succession planning through data

Data Visualisation for HR Insights

• Tools like Power BI, Tableau

• Creating impactful dashboards

Ethical and Legal Considerations

• Data privacy and confidentiality

• Avoiding bias and ensuring fairness

Strategic HR Decision-Making Using Predictive Analytics

• Turning insights into actions

Building a data-driven HR culture