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Mastering HR Analytics; A Step-by-Step Guide to Data-Driven Decision Making

$198.00
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Course access is prepared after purchase and delivered via email
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What does the HR Analytics course cover?

HR Analytics is covered here in 8 modules: Introduction to HR Analytics: Understanding the benefits of HR analytics, Data Collection and Management: Data governance and security, Data Analysis and Interpretation: Regression analysis and modeling and 5 more. The outline lists 32 specific topics, opening with defining HR analytics and its role in the organization and closing with future trends and innovations in.

How do you approach HR Analytics step by step?

The work is sequenced in 8 stages. It starts with Introduction to HR Analytics: Understanding the benefits of HR analytics, moves through Data Collection and Management: Data governance and security and Data Analysis and Interpretation: Regression analysis and modeling, and ends at Advanced HR Analytics Topics: HR analytics and artificial intelligence.

What is in Module 1 of the HR Analytics course?

Module 1 is Introduction to HR Analytics: Understanding the benefits of HR analytics. It works through defining HR analytics and its role in the organization, understanding the benefits of HR analytics, identifying key stakeholders and their roles in HR analytics 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.

Closely related courses: Prescriptive Analytics in Data Driven Decision Making, Talent Analytics in Data Driven Decision Making, Behavioral Analytics in Data Driven Decision Making, Predictive Analytics in Data Driven Decision Making.

More answers: what you get with every course, refund policy, all help answers.

Mastering HR Analytics: A Step-by-Step Guide to Data-Driven Decision Making



Course Overview

This comprehensive course is designed to equip HR professionals with the skills and knowledge needed to leverage data and analytics to drive business outcomes. Through interactive lessons, hands-on projects, and real-world applications, participants will gain a deep understanding of HR analytics and its role in informing strategic decision-making.



Course Objectives

  • Understand the fundamentals of HR analytics and its importance in driving business outcomes
  • Learn how to collect, analyze, and interpret HR data to inform strategic decision-making
  • Develop skills in data visualization and reporting to effectively communicate insights to stakeholders
  • Apply HR analytics to real-world scenarios, including talent management, employee engagement, and benefits administration
  • Receive a certificate upon completion, issued by The Art of Service


Course Outline

Module 1. Introduction to HR Analytics: Understanding the benefits of HR analytics

  • Defining HR analytics and its role in the organization
  • Understanding the benefits of HR analytics
  • Identifying key stakeholders and their roles in HR analytics
  • Overview of HR analytics tools and technologies

Module 2. Data Collection and Management: Data governance and security

  • Understanding HR data sources and systems
  • Developing a data collection plan
  • Data cleaning, processing, and storage
  • Data governance and security

Module 3. Data Analysis and Interpretation: Regression analysis and modeling

  • Descriptive statistics and data visualization
  • Inferential statistics and hypothesis testing
  • Regression analysis and modeling
  • Interpreting results and identifying insights

Module 4. Data Visualization and Reporting: Storytelling with data, Principles of data visualization

  • Principles of data visualization
  • Creating effective dashboards and reports
  • Communicating insights to stakeholders
  • Storytelling with data

Module 5. Talent Management Analytics: Recruitment and hiring analytics

  • Workforce planning and forecasting
  • Recruitment and hiring analytics
  • Employee turnover and retention analysis
  • Succession planning and leadership development

Module 6. Employee Engagement and Experience Analytics: Analyzing employee experience data

  • Employee engagement surveys and analysis
  • Understanding employee sentiment and feedback
  • Analyzing employee experience data
  • Developing strategies to improve employee engagement and experience

Module 7. Benefits Administration Analytics: Benefits data analysis and reporting

  • Benefits data analysis and reporting
  • Understanding benefits utilization and trends
  • Developing strategies to optimize benefits administration
  • Communicating benefits insights to stakeholders

Module 8. Advanced HR Analytics Topics: HR analytics and artificial intelligence

  • Predictive analytics and machine learning
  • Text analytics and natural language processing
  • HR analytics and artificial intelligence
  • Future trends and innovations in HR analytics


Course Features

  • Interactive and engaging lessons
  • Comprehensive and up-to-date content
  • Personalized learning experience
  • Expert instructors with real-world experience
  • Certificate upon completion, issued by The Art of Service
  • Flexible learning schedule
  • User-friendly and mobile-accessible platform
  • Community-driven discussion forum
  • Actionable insights and hands-on projects
  • Bite-sized lessons and lifetime access
  • Gamification and progress tracking


Course Prerequisites

None, but a basic understanding of HR concepts and statistics is recommended.



Course Duration

Self-paced, approximately 80 hours of learning content.



Course Format

Online, interactive lessons, hands-on projects, and real-world applications.

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