Requirements

• No prior analytics experience is needed; just a basic understanding of HR concepts and a willingness to explore data-driven strategies.

Description

HR Analytics is a vital tool for transforming workforce data into actionable business solutions. This comprehensive online course, led by industry expert Mike Pritula, equips HR professionals, managers, and business owners with the skills to digitize HR processes, calculate Employee Lifetime Value (ELV), and measure key HR metrics to enhance decision-making and maximize employee value.

What you’ll learn:

• Introduction to People Analytics: Understand the fundamentals of HR analytics and its significance in solving business problems through data-driven decisions.

• Data Segmentation and Insight Discovery: Learn to segment employee data, visualize segments, and analyze metrics to uncover valuable insights.

• Calculating Employee Lifetime Value (ELV): Master the methods to calculate ELV, assess return on investment in personnel, and develop strategies to enhance employee value.

• Employee Lifecycle Analysis: Build and assess employee journey maps to improve engagement and retention throughout the employee lifecycle.

• Recruitment and Performance Analytics: Analyze recruitment funnels, measure hiring effectiveness, and evaluate employee performance to optimize talent acquisition and management.

• Loyalty and Turnover Metrics: Measure and analyze employee turnover, retention rates, and loyalty to identify factors influencing employee attrition.

• Advanced Analytical Techniques: Apply regression analysis, forecasting, and experimental design to predict trends and assess the impact of HR initiatives.

Course Program:

1. Introduction to Analytics: Explore the basics of People Analytics, including the 4S model and approaches to enhancing decision-making through data.

2. Data Segmentation and Insights: Learn techniques for segmenting employee data and discovering actionable insights.

3. Assessing Employee Lifetime Value (ELV): Understand ELV, its calculation, and strategies to increase employee value.

4. Employee Lifecycle Analysis: Build and assess employee journey maps to enhance engagement and retention.

5. Recruitment Analytics: Analyze recruitment processes, measure effectiveness, and optimize hiring strategies.

6. Employee Performance Analytics: Evaluate employee performance and engagement to drive productivity.

7. Loyalty and Turnover Analytics: Measure and analyze turnover and retention to understand employee loyalty.

8. Survey Analysis and Prioritization: Design and utilize surveys for data collection and identify key focus areas.

9. Advanced Regression Analysis: Apply regression analysis techniques to interpret complex HR data.

10. Forecasting and Experimental Design: Learn to make data-driven forecasts and design experiments to test HR initiatives.

Course Features:

• Expert Instruction: Learn from Mike Pritula, a renowned HR leader with over 15 years of experience.

• Flexible Learning: Access ten recorded lessons at your own pace, with one lesson released per week.

• Practical Application: Engage in weekly homework assignments with personalized feedback to reinforce learning.

• Interactive Community: Participate in a dedicated Telegram chat to discuss cases and share experiences with peers.

• Certification: Receive a diploma upon successful completion of the course, enhancing your professional credentials.

Who should enroll:

• HR professionals aiming to enhance their analytical skills and make data-driven decisions.

• Managers and business owners seeking to understand and apply HR analytics for improved workforce management.

• Individuals interested in leveraging data to optimize HR processes and strategies.

Equip yourself with the essential HR analytics skills to transform data into actionable insights and drive organizational success. Enroll now to advance your analytical capabilities and become a strategic partner in your organization.

Who this course is for:

• This course is for HR professionals
• managers
• and business leaders seeking to harness data analytics for smarter workforce management and decision-making.