Advanced People Analytics and Talent Development

Leverage data-driven insights to optimize talent management, succession planning, and workforce development. This course equips HR professionals and leaders with the analytical skills to make informed decisions that enhance employee performance, engagement, and organizational outcomes.

Current Status

Not Enrolled

Price

Closed

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About the course

What will you learn

• How to collect, clean, and analyze HR data effectively
• Key metrics and KPIs for talent acquisition, performance, and engagement
• Predictive analytics techniques for succession planning and workforce forecasting
• Strategies to identify high-potential employees and plan career paths
• Use of advanced analytics tools and visualization for actionable insights
• Ethical and compliant management of employee data
• Implementing data-driven initiatives within HR and organizational processes

Who is this for

HR professionals, Talent Managers, and People Analysts
Organizational leaders responsible for workforce planning and development
Anyone interested in using data to inform talent strategy and decision-making

Highlights

• Learn to leverage HR data for smarter talent management, workforce planning, and succession strategies.

• Gain skills in collecting, analyzing, and visualizing HR metrics to drive performance and engagement.

• Apply predictive analytics to identify high-potential employees and forecast workforce needs.

• Explore advanced techniques like machine learning and regression for actionable talent insights.

• Understand ethical, compliant, and transparent management of employee data.

• Work on a real-world capstone project to present data-driven HR recommendations.

• Ideal for HR professionals, talent managers, and organizational leaders seeking to make data-informed decisions.

Eligibility

No Eligibility

Pre-Requisites:

Basic understanding of HR processes and talent management
Familiarity with HR metrics and reporting
Foundational knowledge of data analysis tools (Excel, HRIS, or basic analytics)

Syllabus:

- Overview of people analytics and its importance in modern HR
- Key HR metrics and KPIs
- The role of data in strategic decision-making
- Tools and technologies used in people analytics
- Sources of HR data (HRIS, ATS, surveys, performance systems)
- Data quality, integrity, and privacy considerations
- Data cleaning and preparation for analysis
- Identifying high-potential employees and talent pools
- Predictive analytics for recruitment and retention
- Employee lifecycle analysis
- Metrics for talent acquisition and onboarding effectiveness
- Analyzing employee performance and productivity data
- Employee engagement measurement and its impact on retention
- Linking performance data to business outcomes
- Designing data-driven performance improvement strategies
- Identifying critical roles and potential successors
- Predictive models for succession readiness
- Career path modeling and personalized development plans
- Integrating analytics into succession planning processes
- Forecasting workforce needs and skill gaps
- Scenario planning and capacity modeling
- Aligning workforce strategy with business objectives
- Evaluating the ROI of talent development initiatives
- Predictive modeling and regression analysis in HR
- Machine learning applications in talent management
- Advanced visualization for HR insights
- Case studies of data-driven talent strategies
- Ethical considerations in people analytics
- Ensuring compliance with labor laws and data privacy regulations
- Building trust with employees through transparent data practices
- Driving adoption of analytics in HR and leadership teams
- Change management strategies for data-driven HR culture
- Measuring success and continuous improvement
- Real-world project: Analyze a talent dataset to provide actionable insights
- Present findings and recommendations to stakeholders

Premium

Closed

About this course

Level

Beginner

Duration:

1 Year

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