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Mastering HR Analytics; A Step-by-Step Guide to Mitigating Risk and Ensuring Compliance

$197.00
When you get access:
Course access is prepared after purchase and delivered via email
How you learn:
Self-paced • Lifetime updates
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Toolkit Included:
Includes a practical, ready-to-use toolkit with implementation templates, worksheets, checklists, and decision-support materials so you can apply what you learn immediately - no additional setup required.
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What does the HR Analytics course cover?

HR Analytics is covered here in 8 modules: Introduction to HR Analytics: tools and technologies, Defining HR analytics and its importance, HR Data Management: Data quality and integrity, Data visualization and reporting, HR Metrics and Benchmarking: Defining and calculating key HR metrics and 5 more.

How do you approach HR Analytics step by step?

The work is sequenced in 8 stages. It starts with introduction to HR Analytics: tools and technologies, Defining HR analytics and its importance, moves through HR Data Management: Data quality and integrity, Data visualization and reporting and HR Metrics and Benchmarking: Defining and calculating key HR metrics, and ends at Implementing and Sustaining HR Analytics: Evaluating and improving HR analytics.

What is in Module 1 of the HR Analytics course?

Module 1 is Introduction to HR Analytics: tools and technologies, Defining HR analytics and its importance. It works through defining HR analytics and its importance, understanding the role of HR analytics in business decision-making, identifying key HR metrics and benchmarks and 1 more. It sets the vocabulary the remaining 7 modules build on.

How is the HR Analytics course delivered?

The HR Analytics course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the HR Analytics course cost?

The HR Analytics course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

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Mastering HR Analytics: A Step-by-Step Guide to Mitigating Risk and Ensuring Compliance



Course Overview

This comprehensive course is designed to equip HR professionals with the skills and knowledge needed to master HR analytics and ensure compliance with regulatory requirements. Participants will receive a certificate upon completion, issued by The Art of Service.



Course Features

  • Interactive and engaging learning experience
  • Comprehensive and up-to-date content
  • Personalized learning approach
  • Practical and real-world applications
  • High-quality content developed by expert instructors
  • Certificate issued upon completion
  • Flexible learning options
  • User-friendly and mobile-accessible platform
  • Community-driven learning environment
  • Actionable insights and hands-on projects
  • Bite-sized lessons and lifetime access
  • Gamification and progress tracking features


Course Outline

Module 1. Introduction to HR Analytics: tools and technologies, Defining HR analytics and its importance

  • Defining HR analytics and its importance
  • Understanding the role of HR analytics in business decision-making
  • Identifying key HR metrics and benchmarks
  • Introduction to HR analytics tools and technologies

Module 2. HR Data Management: Data quality and integrity, Data visualization and reporting

  • Understanding HR data sources and systems
  • Developing a data management plan
  • Data quality and integrity
  • Data visualization and reporting

Module 3. HR Metrics and Benchmarking: Defining and calculating key HR metrics

  • Defining and calculating key HR metrics
  • Understanding benchmarking and its application in HR
  • Identifying and using external benchmarking sources
  • Developing a metrics and benchmarking plan

Module 4. Predictive Analytics in HR: Developing a predictive analytics plan

  • Introduction to predictive analytics and its application in HR
  • Understanding regression analysis and modeling
  • Using machine learning algorithms in HR predictive analytics
  • Developing a predictive analytics plan

Module 5. HR Analytics and Compliance: Developing a compliance plan for HR analytics

  • Understanding regulatory requirements and compliance in HR analytics
  • Identifying and mitigating risks in HR analytics
  • Developing a compliance plan for HR analytics
  • Auditing and monitoring HR analytics for compliance

Module 6. HR Analytics and Business Decision-Making: Developing a business case for HR analytics

  • Understanding the role of HR analytics in business decision-making
  • Developing a business case for HR analytics
  • Communicating HR analytics results to stakeholders
  • Using HR analytics to drive business outcomes

Module 7. Advanced HR Analytics Topics: Applying social network analysis in HR

  • Using data mining and text analytics in HR
  • Applying social network analysis in HR
  • Understanding and using artificial intelligence in HR analytics
  • Developing a plan for advanced HR analytics

Module 8. Implementing and Sustaining HR Analytics: Evaluating and improving HR analytics

  • Developing a plan for implementing HR analytics
  • Understanding and addressing common implementation challenges
  • Sustaining and maintaining HR analytics over time
  • Evaluating and improving HR analytics


Certificate and Continuing Education

Participants who complete the course will receive a certificate issued by The Art of Service. The course is designed to provide continuing education and professional development opportunities for HR professionals.



Target Audience

This course is designed for HR professionals, including:

  • HR analysts and metrics specialists
  • HR managers and directors
  • Business analysts and consultants
  • Organizational development and effectiveness professionals
  • Anyone interested in HR analytics and its application in business decision-making
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