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Human Resource Analytics

Delve into HR analytics to understand how to leverage business analytics to make fair and unbiased decisions.

A man and a woman at a desk in an office analysing data.

Human Resource Analytics

  • 3 weeks

  • 1 hour per week

  • Digital certificate when eligible

  • Introductory level

Find out more about how to join this course

Gain crucial knowledge of business analytics

In today’s digital world, companies are relying more on data to guide decisions and solve problems. This makes having a strong grasp of business analytics crucial for career success, especially in fields like human resource management.

On this four-week course, you’ll delve into the fundamentals of business analytics specifically tailored to the realm of HR.

By mastering these skills, you’ll be better equipped to ensure fairness and objectivity in your decision-making process.

Understand descriptive statistics

You’ll start by building a solid foundation in business analytics, learning how to work with data and become proficient in using JASP, a statistical software.

This knowledge will empower you to interpret and utilise descriptive statistics effectively.

Delve further into human resource management

Next, you’ll dive deeper into HR management through practical examples.

These real-world scenarios will equip you with the ability to harness datasets and address common HR challenges.

Develop practical skills in using the statistical software, JASP

Finally, you’ll hone your skills in using JASP. This hands-on experience will provide you with practical skills that extend beyond the course to help you develop in your career.

Guided by the experts at NTHU, you’ll have the knowledge and skills to leverage business analytics, particularly within the context of HR. This will enable you to make data-driven decisions with confidence.

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  • Week 1

    Introduction to Business Analytics in HRM 1

    • Welcome to the Course

      Welcome to our Business Data Analytics for HR course, where we'll explore the power of data-driven HR decision-making.

    • Introduction to Business Analytics

      Let's start by understanding the basics of Business Analytics and its relevance in HR.

    • Some Famous HR Datasets

      Discover insights from well-known HR datasets that will shape your HR strategies.

    • Values of Business Analytics

      Learn how Business Analytics adds value to HR by aligning it with business goals.

    • Types of Business Analytics

      Dive into descriptive, predictive, and prescriptive analytics tailored for HR's needs

    • Week 1 Evaluation

      Test your knowledge of the course in this week

  • Week 2

    Introduction to Business Analytics in HRM 2

    • PPDAC Cycle

      Explore the essential steps of the PPDAC Cycle (Problem, Plan, Data, Analysis, Conclusion) that form the backbone of effective data analytics. These steps will guide you through the process of turning HR data into actionable means

    • Differences Mean Effects

      Dive into understanding the concept of "mean effect" and how it can help you discern significant differences in HR data, allowing you to make informed decisions about HR practices.

    • Data into Actionable Insights

      Learn how to transform raw HR data into actionable insights. We'll explore techniques for extracting meaningful information and using it to drive strategic HR decisions.

    • Exploring Data with JASP

      Get hands-on experience with JASP, a powerful statistics software tool. We'll cover the basics of data exploration, allowing you to navigate and manipulate HR data effectively.

    • Descriptive Analyses with JASP

      Delve into the world of descriptive analyses using JASP. You'll learn how to summarize and visualize HR data to gain a clear understanding of trends and patterns within your organization.

    • Association Analyses with JASP

      Discover how to uncover associations and relationships within HR data using JASP. We'll explore techniques that help you identify factors influencing employee performance and engagement.

    • Two HR Examples

      We'll dive into two real-world HR examples to apply the skills and knowledge you've acquired. These practical scenarios will illustrate how data analytics can be used effectively in HR management.

    • Example 1: Recruiters A, B, C

      In our first case study, we'll examine the performance of recruiters A, B, and C. You'll learn how to use data analytics to assess their effectiveness and make data-driven decisions to optimize recruitment strategies.

    • Week 2 Evaluation

      Test your knowledge of the course in this week.

  • Week 3

    Introduction to Business Analytics in HRM 3

    • Translate HR Problems into Analytical Terms

      In this section, we'll learn how to translate HR challenges into analytical terms. By framing HR problems in a data-driven context, you'll be better equipped to use analytics to find solutions and improve HR processes.

    • Example 2: Employee Exit Analysis

      We'll dive into a real-world case study focusing on employee exits. This example will serve as a practical application of HR analytics, allowing you to analyze the reasons behind employee departures and identify areas for improvem

    • Example 2: Descriptive Analysis

      Using the employee exit data, we'll begin with descriptive analysis. You'll learn how to summarize and visualize key information, gaining insights into the patterns and trends associated with employee departures.

    • Example 2: Predictive Analysis

      Moving beyond description, we'll explore predictive analysis. By leveraging historical employee exit data, you'll discover how to build models that forecast future attrition rates, helping HR departments proactively address data.

    • Example 2: Actionable Suggestions

      With the insights gained from our analysis, we'll discuss actionable suggestions for HR decision-makers. You'll see how data-driven recommendations can inform strategies to reduce employee turnover and improve retention.

    • Conclusion

      As we wrap up the course, we'll reflect on the journey you've undertaken in mastering business data analytics in the context of HRM.

    • Week 3 Evaluation

      Test your knowledge of the course in this week.

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

  • Apply the PPDAC (Problem, Plan, Data, Analysis, Conclusion) cycle to address HR challenges.
  • Apply predictive analysis to forecast HR trends and future scenarios effectively.
  • Explore and analyze some of the most notable HR datasets.
  • Evaluate the significance of differences and mean effects in HR analysis.
  • Perform association analyses using JASP to discover relationships between variables.

Who is the course for?

This course is designed for anyone interested in business, human resource management, and business analytics.

It will also be beneficial if you want to learn more about big data and using statistical software.

Who will you learn with?

Who developed the course?

National Tsing Hua University (NTHU)

National Tsing Hua University in Taiwan consistently ranks as one of the premier universities in East Asia.

  • Established

  • Location

  • World ranking

    Top 170Source: QS World University Rankings 2021

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For the first two months. Automatically renews

Develop skills to further your career

  • Access to this course
  • Access to 1,000+ courses
  • Learn at your own pace
  • Discuss your learning in comments
  • Digital certificate when you're eligible

Cancel for free anytime

Buy this course

$99/one-off payment

Fulfill your current learning need

  • Access to this course
  • Learn at your own pace
  • Discuss your learning in comments
  • Printed and digital certificate when you’re eligible

Limited access


Sample the course materials

  • Access expires 1 Jan 2024

Find out more about certificates, Unlimited or buying a course (Upgrades)

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