Syllabus

• 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.

Who will you learn with?