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HR Analytics for Data-Driven Decision Making and Strategy

Last updated on March 2, 2025 9:32 pm
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Description

What you’ll learn

  • Understand HR analytics fundamentals and its role in solving business problems.
  • Learn to calculate Employee Lifetime Value (ELV) and maximize employee impact.
  • Master recruitment, performance, and turnover analytics for better decisions.
  • Apply advanced techniques like regression analysis and forecasting in HR.
  • Utilize predictive HR analytics models to forecast employee retention, performance, and turnover trends.
  • Leverage people analytics tools for data-driven workforce planning and resource allocation.
  • Conduct advanced HR data visualization to present actionable insights to leadership.
  • Optimize recruitment strategies using data-driven recruitment analytics and funnel analysis.
  • Automate the calculation of essential HR metrics for real-time performance monitoring.
  • Implement advanced statistical methods, such as correlation analysis, to improve HR decision-making.
  • Use HR analytics techniques to measure employee engagement and improve productivity.
  • Apply machine learning algorithms to predict future HR trends and talent needs.
  • Develop workforce planning strategies using data-driven HR analytics insights.
  • Measure and analyze absenteeism, turnover costs, and retention risks using HR analytics models.
  • Optimize compensation strategies through salary benchmarking and HR data analysis.
  • Implement data-driven strategies to improve learning and development initiatives in HR.
  • Create and interpret HR scorecards to track organizational KPIs and HR performance metrics.

HR Analytics: Transforming Human Resource Management with Data-Driven Insights

Course Description:

In the modern data-driven workplace, HR analytics plays a crucial role in transforming how businesses make strategic decisions about their workforce. The HR Analytics course is expertly designed to help HR professionals, managers, and business leaders harness the full potential of people analytics, gain actionable insights, and drive measurable business results.

In this hands-on program, you will learn how to apply advanced HR analytics tools and techniques to optimize your human resources strategy. From calculating essential HR metrics to building predictive models and creating powerful HR dashboards, this course provides the foundational skills and advanced insights necessary to elevate your organization’s human resources analytics practices.

What You’ll Learn:

Foundations of HR Analytics: Understand the fundamentals of HR analytics and how to apply them for effective decision-making across human resource functions.

HR Metrics and Reporting: Learn how to calculate and analyze key HR metrics such as turnover rates, employee retention, and recruitment efficiency.

Advanced People Analytics Tools: Master cutting-edge HR analytics tools like Excel, Power BI, and data visualization platforms to present impactful HR data insights.

Predictive HR Analytics Models: Build predictive models using machine learning (ML) and statistical techniques to forecast employee performance, retention, and engagement.

Employee Lifetime Value (ELV) Analytics: Calculate and optimize Employee Lifetime Value to assess workforce return on investment (ROI) and improve talent management strategies.

HR Dashboard Design: Create dynamic HR dashboards for real-time tracking and reporting of key human resource analytics data.

Data-Driven Recruitment Analytics: Implement recruitment analytics to optimize the hiring process, from sourcing candidates to reducing time-to-hire.

Employee Engagement and Performance Analytics: Measure employee engagement and productivity using proven HR analytics models for continuous improvement.

Turnover and Retention Analytics: Identify patterns in employee turnover and develop data-driven retention strategies using advanced HR analytics techniques.

HR Data Visualization: Design effective data visualizations for HR leadership to communicate insights clearly and effectively.

Who Should Enroll:

HR Professionals looking to enhance their HR analytics skills and apply data-driven strategies for organizational growth.

Managers and Team Leaders aiming to make more informed decisions using real-time HR data and metrics.

HR Executives and Business Owners who want to build a competitive advantage through data-driven human resource strategies.

Aspiring HR Analysts eager to gain expertise in predictive HR analytics models and human resources technology.

Students or professionals transitioning to a career in HR analytics and people analytics.

Course Structure:

This comprehensive course offers 10 in-depth lessons that cover every critical aspect of HR analytics. Each session includes practical case studies, interactive assignments, and actionable insights to apply directly to real-world HR scenarios.

Key Modules:

1. Introduction to HR Analytics

• Defining HR analytics and its role in organizational decision-making.

• Exploring the impact of data-driven HR practices.

• Understanding business challenges through analytics.

2. Essential HR Metrics

• Calculating core HR metrics: turnover, retention, absenteeism, and cost-per-hire.

• Automating HR calculations using Excel and Power BI.

• Implementing HR reporting standards for decision-making.

3. HR Data Visualization Techniques

• Creating visually engaging HR dashboards using Excel and Power BI.

• Summarizing HR data with pivot tables, charts, and graphs.

• Building HR scorecards for leadership reports.

4. Employee Lifecycle Analytics

• Mapping the employee journey using people analytics.

• Gathering feedback through surveys at various employee lifecycle stages.

• Tracking workforce development and engagement metrics.

5. Advanced Recruitment Analytics

• Optimizing sourcing channels using recruitment analytics.

• Reducing hiring time with AI-driven solutions.

• Measuring recruitment funnel performance and ROI.

6. Predictive HR Analytics Models

• Applying linear regression and ML algorithms for predictive insights.

• Forecasting attrition and future HR trends.

• Using data-driven models to improve hiring decisions.

7. Employee Performance Analytics

• Conducting ABC performance analysis for HR strategy optimization.

• Developing performance improvement plans through data insights.

• Measuring key engagement factors with advanced analytics.

8. Turnover and Retention Metrics

• Calculating turnover rates using advanced HR analytics techniques.

• Identifying retention risks with predictive analytics.

• Implementing proactive retention strategies based on HR data.

9. Survey Data Analysis for HR

• Designing employee engagement surveys for accurate data collection.

• Analyzing survey data using regression and correlation analysis.

• Prioritizing HR focus areas based on employee feedback.

10. Strategic People Analytics for Business Impact

• Aligning HR strategy with business outcomes using strategic analytics.

• Case studies on data-driven HR transformations.

• Developing actionable HR strategies based on data insights.

Why Choose This Course?

Expert Instruction: Learn from Mike Pritula, an expert in HR analytics with years of practical experience in applying analytics to HR strategies.

Hands-On Learning: Practice real-world HR analytics with case studies, Excel workbooks, and interactive assignments.

Comprehensive Content: Dive deep into both foundational and advanced concepts of HR analytics and people analytics.

Certification: Receive a verifiable certificate upon course completion, proving your expertise in HR analytics and people analytics tools.

Enroll Now and Master HR Analytics!

Unlock the full potential of HR analytics to transform your organization’s workforce strategy. Develop actionable insights, predict future HR trends, and drive business growth through data-driven decision-making.

Take your HR skills to the next level—enroll today and become an expert in HR analytics and human resources analytics!

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.

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