Human Resource Analytics

Human Resource Analytics: Leveraging Data for Informed Decisions

Course Overview: In the modern business landscape, data-driven decision-making has become increasingly vital, particularly in human resource management (HRM). This comprehensive online course, hosted on IAQMC, is meticulously designed to empower participants with the skills and knowledge necessary to harness the power of human resource analytics effectively.

• Duration: 3 weeks
• Weekly Study: 1 hour
• Certificate: Digital certificate upon eligibility
• Level: Introductory

Course Content:

Week 1: Introduction to Business Analytics in HRM In this foundational week, participants will grasp the fundamentals of business analytics and its relevance in the realm of HRM. Through engaging modules, learners will:

• Understand the Basics of Business Analytics: Delve into the core concepts of business analytics, exploring its significance and applications in HRM.
• Exploring Famous HR Datasets: Gain insights from well-known HR datasets, shaping strategies and decision-making processes.
• Values and Types of Business Analytics: Explore the value proposition of business analytics in HRM and differentiate between descriptive, predictive, and prescriptive analytics.
• Evaluation and Assessment: Test acquired knowledge through evaluations to ensure comprehension and retention.

Week 2: Applying Business Analytics in HRM Building upon the foundational knowledge acquired in Week 1, participants will dive deeper into the practical applications of business analytics in HRM. Key topics include:

• Introduction to the PPDAC Cycle: Explore the Problem, Plan, Data, Analysis, and Conclusion (PPDAC) cycle, a structured approach to data-driven decision-making.
• Mean Effects and Significance in HR Data: Understand statistical measures like mean effects and significance, crucial for interpreting HR data effectively.
• Transforming Data into Actionable Insights: Learn techniques to transform raw HR data into actionable insights, driving strategic HR decisions.
• Exploring Data and Conducting Descriptive Analyses with JASP: Gain hands-on experience with JASP, a statistical software tool, for descriptive analysis of HR data.
• Association Analyses and Real-world HR Examples: Apply learned concepts to real-world HR scenarios, exploring association analyses and drawing actionable insights.

Week 3: Advanced Applications of HR Analytics In the final week, participants will delve into advanced applications of HR analytics, equipping them with the skills to address complex HR challenges. Topics covered include:

• Translating HR Problems into Analytical Terms: Learn to frame HR challenges in a data-driven context, facilitating effective problem-solving using analytics.
• Predictive Analysis for Forecasting HR Trends: Explore predictive analytics techniques to forecast HR trends and future scenarios accurately.
• Analyzing Employee Exit Data and Identifying Solutions: Dive into a case study on employee exits, conducting descriptive and predictive analyses to identify solutions and improve retention.
• Conclusion and Reflection: Reflect on the journey undertaken throughout the course, consolidating learning outcomes and insights gained.

What You’ll Learn: Upon completion of this course, participants will:

• Apply the PPDAC cycle to address HR challenges systematically.
• Utilize predictive analysis techniques to forecast HR trends effectively.
• Explore and analyze notable HR datasets, extracting actionable insights.
• Evaluate differences and mean effects in HR data, ensuring robust interpretation.
• Perform association analyses using statistical software like JASP to uncover relationships between variables.

Who Should Take This Course: This course caters to individuals interested in enhancing their skills in business analytics, particularly within the context of HRM. It is ideal for:

• Business professionals seeking to leverage data-driven insights for HR decision-making.
• HR practitioners aiming to enhance their analytical capabilities and improve HR strategies.
• Students pursuing studies in business, HRM, or related fields looking to gain practical insights into HR analytics.
• Anyone keen on understanding the significance of data analytics in the HR domain and its applications.

Instructor: Changya Hu, an esteemed faculty member at National Tsing Hua University (NTHU) in Taiwan, brings a wealth of expertise in business analytics and HRM to guide participants through this course. With a strong academic background and practical experience, Changya Hu ensures learners receive comprehensive and insightful instruction throughout the program.

Enrollment Options: Participants can enroll in this course through the following options:

• One-off Payment: ₹2,205.11

Join IAQMC now to embark on a transformative journey into the realm of human resource analytics. Gain the essential skills and knowledge to make informed, data-driven decisions in HRM and drive organizational success.