onlincourse

Human Resource Analytics

Delve into HR analytics to understand how to leverage business analytics to make fair and unbiased decisions with this online course from NTHU.

Duration

3 weeks

Weekly study

1 hour

100% online

How it works

Unlimited subscription

Learn more

Established

1956

Location

Taiwan

World ranking

Source: QS World University Rankings 2021

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.

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.